初始化项目,由ModelHub XC社区提供模型
Model: jackf857/qwen-3-8b-base-r-dpo-ultrafeedback-4xH200-batch-128-rerun-2-runpod Source: Original Platform
This commit is contained in:
36
.gitattributes
vendored
Normal file
36
.gitattributes
vendored
Normal file
@@ -0,0 +1,36 @@
|
||||
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||
*.ftz filter=lfs diff=lfs merge=lfs -text
|
||||
*.gz filter=lfs diff=lfs merge=lfs -text
|
||||
*.h5 filter=lfs diff=lfs merge=lfs -text
|
||||
*.joblib filter=lfs diff=lfs merge=lfs -text
|
||||
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||
*.model filter=lfs diff=lfs merge=lfs -text
|
||||
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||
78
README.md
Normal file
78
README.md
Normal file
@@ -0,0 +1,78 @@
|
||||
---
|
||||
library_name: transformers
|
||||
base_model: jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128
|
||||
tags:
|
||||
- alignment-handbook
|
||||
- r-dpo
|
||||
- generated_from_trainer
|
||||
datasets:
|
||||
- HuggingFaceH4/ultrafeedback_binarized
|
||||
model-index:
|
||||
- name: qwen3-8b-base-r-dpo-ultrafeedback-4xh200-batch-128
|
||||
results: []
|
||||
---
|
||||
|
||||
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
||||
should probably proofread and complete it, then remove this comment. -->
|
||||
|
||||
# qwen3-8b-base-r-dpo-ultrafeedback-4xh200-batch-128
|
||||
|
||||
This model is a fine-tuned version of [jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128](https://huggingface.co/jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128) on the HuggingFaceH4/ultrafeedback_binarized dataset.
|
||||
It achieves the following results on the evaluation set:
|
||||
- Loss: 0.5469
|
||||
- R Dpo/chosen Len: 294.4800
|
||||
- R Dpo/rejected Len: 249.8700
|
||||
- R Dpo/length Delta: 44.6100
|
||||
- R Dpo/regularization Term: 4.4610
|
||||
- Logps/chosen: -2936.7747
|
||||
- Logps/rejected: -2579.1685
|
||||
- Logps/ref Chosen: -281.4850
|
||||
- Logps/ref Rejected: -261.8005
|
||||
- Logits/chosen: 0.6320
|
||||
- Logits/rejected: 0.5334
|
||||
|
||||
## Model description
|
||||
|
||||
More information needed
|
||||
|
||||
## Intended uses & limitations
|
||||
|
||||
More information needed
|
||||
|
||||
## Training and evaluation data
|
||||
|
||||
More information needed
|
||||
|
||||
## Training procedure
|
||||
|
||||
### Training hyperparameters
|
||||
|
||||
The following hyperparameters were used during training:
|
||||
- learning_rate: 5e-07
|
||||
- train_batch_size: 4
|
||||
- eval_batch_size: 4
|
||||
- seed: 42
|
||||
- distributed_type: multi-GPU
|
||||
- num_devices: 4
|
||||
- gradient_accumulation_steps: 8
|
||||
- total_train_batch_size: 128
|
||||
- total_eval_batch_size: 16
|
||||
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
||||
- lr_scheduler_type: cosine
|
||||
- lr_scheduler_warmup_ratio: 0.1
|
||||
- num_epochs: 1
|
||||
|
||||
### Training results
|
||||
|
||||
| Training Loss | Epoch | Step | Validation Loss | R Dpo/chosen Len | R Dpo/rejected Len | R Dpo/length Delta | R Dpo/regularization Term | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected |
|
||||
|:-------------:|:------:|:----:|:---------------:|:----------------:|:------------------:|:------------------:|:-------------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
|
||||
| 6.6608 | 0.4188 | 200 | 0.7288 | 294.4800 | 249.8700 | 44.6100 | 4.4610 | -2819.1780 | -2438.3210 | -281.4850 | -261.8005 | 0.6077 | 0.5856 |
|
||||
| 4.5388 | 0.8377 | 400 | 0.5469 | 294.4800 | 249.8700 | 44.6100 | 4.4610 | -2936.7747 | -2579.1685 | -281.4850 | -261.8005 | 0.6320 | 0.5334 |
|
||||
|
||||
|
||||
### Framework versions
|
||||
|
||||
- Transformers 4.51.0
|
||||
- Pytorch 2.3.1+cu121
|
||||
- Datasets 2.21.0
|
||||
- Tokenizers 0.21.4
|
||||
28
added_tokens.json
Normal file
28
added_tokens.json
Normal file
@@ -0,0 +1,28 @@
|
||||
{
|
||||
"</think>": 151668,
|
||||
"</tool_call>": 151658,
|
||||
"</tool_response>": 151666,
|
||||
"<think>": 151667,
|
||||
"<tool_call>": 151657,
|
||||
"<tool_response>": 151665,
|
||||
"<|box_end|>": 151649,
|
||||
"<|box_start|>": 151648,
|
||||
"<|endoftext|>": 151643,
|
||||
"<|file_sep|>": 151664,
|
||||
"<|fim_middle|>": 151660,
|
||||
"<|fim_pad|>": 151662,
|
||||
"<|fim_prefix|>": 151659,
|
||||
"<|fim_suffix|>": 151661,
|
||||
"<|im_end|>": 151645,
|
||||
"<|im_start|>": 151644,
|
||||
"<|image_pad|>": 151655,
|
||||
"<|object_ref_end|>": 151647,
|
||||
"<|object_ref_start|>": 151646,
|
||||
"<|quad_end|>": 151651,
|
||||
"<|quad_start|>": 151650,
|
||||
"<|repo_name|>": 151663,
|
||||
"<|video_pad|>": 151656,
|
||||
"<|vision_end|>": 151653,
|
||||
"<|vision_pad|>": 151654,
|
||||
"<|vision_start|>": 151652
|
||||
}
|
||||
24
all_results.json
Normal file
24
all_results.json
Normal file
@@ -0,0 +1,24 @@
|
||||
{
|
||||
"epoch": 0.9989528795811519,
|
||||
"eval_logits/chosen": 0.8203902244567871,
|
||||
"eval_logits/rejected": 0.7507365345954895,
|
||||
"eval_logps/chosen": -2971.47265625,
|
||||
"eval_logps/ref_chosen": -281.4849548339844,
|
||||
"eval_logps/ref_rejected": -261.800537109375,
|
||||
"eval_logps/rejected": -2612.93212890625,
|
||||
"eval_loss": 0.5426104068756104,
|
||||
"eval_r_dpo/chosen_len": 294.4800109863281,
|
||||
"eval_r_dpo/length_delta": 44.61000061035156,
|
||||
"eval_r_dpo/regularization_term": 4.461000442504883,
|
||||
"eval_r_dpo/rejected_len": 249.8699951171875,
|
||||
"eval_runtime": 96.1749,
|
||||
"eval_samples": 2000,
|
||||
"eval_samples_per_second": 20.795,
|
||||
"eval_steps_per_second": 1.3,
|
||||
"total_flos": 0.0,
|
||||
"train_loss": 17.04746322311945,
|
||||
"train_runtime": 7166.7787,
|
||||
"train_samples": 61135,
|
||||
"train_samples_per_second": 8.53,
|
||||
"train_steps_per_second": 0.067
|
||||
}
|
||||
30
config.json
Normal file
30
config.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"eos_token_id": 151643,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 12288,
|
||||
"max_position_embeddings": 32768,
|
||||
"max_window_layers": 36,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 36,
|
||||
"num_key_value_heads": 8,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 1000000,
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "float32",
|
||||
"transformers_version": "4.51.0",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
18
eval_results.json
Normal file
18
eval_results.json
Normal file
@@ -0,0 +1,18 @@
|
||||
{
|
||||
"epoch": 0.9989528795811519,
|
||||
"eval_logits/chosen": 0.8203902244567871,
|
||||
"eval_logits/rejected": 0.7507365345954895,
|
||||
"eval_logps/chosen": -2971.47265625,
|
||||
"eval_logps/ref_chosen": -281.4849548339844,
|
||||
"eval_logps/ref_rejected": -261.800537109375,
|
||||
"eval_logps/rejected": -2612.93212890625,
|
||||
"eval_loss": 0.5426104068756104,
|
||||
"eval_r_dpo/chosen_len": 294.4800109863281,
|
||||
"eval_r_dpo/length_delta": 44.61000061035156,
|
||||
"eval_r_dpo/regularization_term": 4.461000442504883,
|
||||
"eval_r_dpo/rejected_len": 249.8699951171875,
|
||||
"eval_runtime": 96.1749,
|
||||
"eval_samples": 2000,
|
||||
"eval_samples_per_second": 20.795,
|
||||
"eval_steps_per_second": 1.3
|
||||
}
|
||||
6
generation_config.json
Normal file
6
generation_config.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"bos_token_id": 151643,
|
||||
"eos_token_id": 151643,
|
||||
"max_new_tokens": 2048,
|
||||
"transformers_version": "4.51.0"
|
||||
}
|
||||
151388
merges.txt
Normal file
151388
merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
3
model-00001-of-00007.safetensors
Normal file
3
model-00001-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:8ade9dc4a41dcdf4b62e485d24f82e695e28f36d134c4ae4b03a49d2b786bfb3
|
||||
size 4972454376
|
||||
3
model-00002-of-00007.safetensors
Normal file
3
model-00002-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:90523be0a22a6c27525b6dc14b4d2a3c2cc34655576b259fff2b637278694336
|
||||
size 4832048608
|
||||
3
model-00003-of-00007.safetensors
Normal file
3
model-00003-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:216466c316d415404e8148147c3dac127450fe6749f23ed3e83559028eccb4cd
|
||||
size 4832048656
|
||||
3
model-00004-of-00007.safetensors
Normal file
3
model-00004-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:de485dce547513768444883af47327fd0d139d1171f69d37edc4f61813a80334
|
||||
size 4999855528
|
||||
3
model-00005-of-00007.safetensors
Normal file
3
model-00005-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:d04fa9850fa36c183cec8026bf27f79595cab038d2ddf5a792812b48e6c03e22
|
||||
size 4832048672
|
||||
3
model-00006-of-00007.safetensors
Normal file
3
model-00006-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:ee5d17961c095f2a6d82000f168156412e0b72d0295c5499af0b3439d9c08887
|
||||
size 4832048672
|
||||
3
model-00007-of-00007.safetensors
Normal file
3
model-00007-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:75327346d180ad036b363ad4ff5b8eb2ffb555e8e1bec610ef63c47820a7bc30
|
||||
size 3462482728
|
||||
406
model.safetensors.index.json
Normal file
406
model.safetensors.index.json
Normal file
@@ -0,0 +1,406 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 32762941440
|
||||
},
|
||||
"weight_map": {
|
||||
"lm_head.weight": "model-00007-of-00007.safetensors",
|
||||
"model.embed_tokens.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.0.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.0.self_attn.k_norm.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.0.self_attn.q_norm.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.1.self_attn.k_norm.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.1.self_attn.q_norm.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.10.self_attn.k_norm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.10.self_attn.q_norm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.11.self_attn.k_norm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.11.self_attn.q_norm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.12.self_attn.k_norm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.12.self_attn.q_norm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.13.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.13.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.13.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.13.self_attn.k_norm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.13.self_attn.q_norm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.14.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.14.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.14.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.14.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.14.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.14.self_attn.k_norm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.14.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.14.self_attn.q_norm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.15.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.15.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.15.self_attn.k_norm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.15.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.15.self_attn.q_norm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.16.self_attn.k_norm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.16.self_attn.q_norm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.17.self_attn.k_norm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.17.self_attn.q_norm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.18.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.18.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.18.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.18.self_attn.k_norm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.18.self_attn.q_norm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.19.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.19.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.19.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.19.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.19.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.19.self_attn.k_norm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.19.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.19.self_attn.q_norm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.2.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.2.self_attn.k_norm.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.2.self_attn.q_norm.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.20.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.20.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.20.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.20.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.20.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.20.self_attn.k_norm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.20.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.20.self_attn.q_norm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.21.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.21.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.21.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.21.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.21.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.21.self_attn.k_norm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.21.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.21.self_attn.q_norm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.22.self_attn.k_norm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.22.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.22.self_attn.q_norm.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||
"model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.23.self_attn.k_norm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.23.self_attn.q_norm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.24.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.24.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.24.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.24.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.24.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.24.self_attn.k_norm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.24.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.24.self_attn.q_norm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.25.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.25.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.25.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.25.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.25.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.25.self_attn.k_norm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.25.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.25.self_attn.q_norm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.26.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.26.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.26.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.26.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.26.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.26.self_attn.k_norm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.26.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.26.self_attn.q_norm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.27.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.27.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.27.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.27.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.27.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.27.self_attn.k_norm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.27.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.27.self_attn.q_norm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.28.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.28.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.28.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.28.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.28.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.28.self_attn.k_norm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.28.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.28.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.28.self_attn.q_norm.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.28.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.28.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
||||
"model.layers.29.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.29.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.29.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.29.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.29.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.29.self_attn.k_norm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.29.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.29.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.29.self_attn.q_norm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.29.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.29.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.3.self_attn.k_norm.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.3.self_attn.q_norm.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
||||
"model.layers.30.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.30.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.30.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.30.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.30.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.30.self_attn.k_norm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.30.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.30.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.30.self_attn.q_norm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.30.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.30.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.31.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.31.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.31.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.31.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.31.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.31.self_attn.k_norm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.31.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.31.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.31.self_attn.q_norm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.31.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.31.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.32.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.32.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.32.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.32.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.32.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.32.self_attn.k_norm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.32.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.32.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.32.self_attn.q_norm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.32.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.32.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.33.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.33.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.33.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.33.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.33.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.33.self_attn.k_norm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.33.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.33.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.33.self_attn.q_norm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.33.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.33.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.34.input_layernorm.weight": "model-00007-of-00007.safetensors",
|
||||
"model.layers.34.mlp.down_proj.weight": "model-00007-of-00007.safetensors",
|
||||
"model.layers.34.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.34.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.34.post_attention_layernorm.weight": "model-00007-of-00007.safetensors",
|
||||
"model.layers.34.self_attn.k_norm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.34.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.34.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.34.self_attn.q_norm.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.34.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.34.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
||||
"model.layers.35.input_layernorm.weight": "model-00007-of-00007.safetensors",
|
||||
"model.layers.35.mlp.down_proj.weight": "model-00007-of-00007.safetensors",
|
||||
"model.layers.35.mlp.gate_proj.weight": "model-00007-of-00007.safetensors",
|
||||
"model.layers.35.mlp.up_proj.weight": "model-00007-of-00007.safetensors",
|
||||
"model.layers.35.post_attention_layernorm.weight": "model-00007-of-00007.safetensors",
|
||||
"model.layers.35.self_attn.k_norm.weight": "model-00007-of-00007.safetensors",
|
||||
"model.layers.35.self_attn.k_proj.weight": "model-00007-of-00007.safetensors",
|
||||
"model.layers.35.self_attn.o_proj.weight": "model-00007-of-00007.safetensors",
|
||||
"model.layers.35.self_attn.q_norm.weight": "model-00007-of-00007.safetensors",
|
||||
"model.layers.35.self_attn.q_proj.weight": "model-00007-of-00007.safetensors",
|
||||
"model.layers.35.self_attn.v_proj.weight": "model-00007-of-00007.safetensors",
|
||||
"model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.4.self_attn.k_norm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.4.self_attn.q_norm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.5.self_attn.k_norm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.5.self_attn.q_norm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.6.self_attn.k_norm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.6.self_attn.q_norm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.7.self_attn.k_norm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.7.self_attn.q_norm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.self_attn.k_norm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.self_attn.q_norm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.k_norm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.q_norm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.norm.weight": "model-00007-of-00007.safetensors"
|
||||
}
|
||||
}
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
240
tokenizer_config.json
Normal file
240
tokenizer_config.json
Normal file
@@ -0,0 +1,240 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151665": {
|
||||
"content": "<tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151666": {
|
||||
"content": "</tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151667": {
|
||||
"content": "<think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in message.content %}\n {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|endoftext|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 2048,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
9
train_results.json
Normal file
9
train_results.json
Normal file
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"epoch": 0.9989528795811519,
|
||||
"total_flos": 0.0,
|
||||
"train_loss": 17.04746322311945,
|
||||
"train_runtime": 7166.7787,
|
||||
"train_samples": 61135,
|
||||
"train_samples_per_second": 8.53,
|
||||
"train_steps_per_second": 0.067
|
||||
}
|
||||
895
trainer_state.json
Normal file
895
trainer_state.json
Normal file
@@ -0,0 +1,895 @@
|
||||
{
|
||||
"best_global_step": null,
|
||||
"best_metric": null,
|
||||
"best_model_checkpoint": null,
|
||||
"epoch": 0.9989528795811519,
|
||||
"eval_steps": 200,
|
||||
"global_step": 477,
|
||||
"is_hyper_param_search": false,
|
||||
"is_local_process_zero": true,
|
||||
"is_world_process_zero": true,
|
||||
"log_history": [
|
||||
{
|
||||
"epoch": 0.0020942408376963353,
|
||||
"grad_norm": 19.463237762451172,
|
||||
"learning_rate": 0.0,
|
||||
"logits/chosen": 2.203179359436035,
|
||||
"logits/rejected": 2.035616397857666,
|
||||
"logps/chosen": -257.4821472167969,
|
||||
"logps/ref_chosen": -257.3987731933594,
|
||||
"logps/ref_rejected": -199.99972534179688,
|
||||
"logps/rejected": -199.93338012695312,
|
||||
"loss": 45.6501,
|
||||
"r_dpo/chosen_len": 260.25,
|
||||
"r_dpo/length_delta": 46.875,
|
||||
"r_dpo/regularization_term": 4.6875,
|
||||
"r_dpo/rejected_len": 213.375,
|
||||
"step": 1
|
||||
},
|
||||
{
|
||||
"epoch": 0.020942408376963352,
|
||||
"grad_norm": 18.84970474243164,
|
||||
"learning_rate": 9.375e-08,
|
||||
"logits/chosen": 1.9343596696853638,
|
||||
"logits/rejected": 1.8566161394119263,
|
||||
"logps/chosen": -290.1725158691406,
|
||||
"logps/ref_chosen": -290.0645751953125,
|
||||
"logps/ref_rejected": -255.95347595214844,
|
||||
"logps/rejected": -256.05364990234375,
|
||||
"loss": 43.0812,
|
||||
"r_dpo/chosen_len": 295.9757080078125,
|
||||
"r_dpo/length_delta": 49.59722137451172,
|
||||
"r_dpo/regularization_term": 4.959722518920898,
|
||||
"r_dpo/rejected_len": 246.37847900390625,
|
||||
"step": 10
|
||||
},
|
||||
{
|
||||
"epoch": 0.041884816753926704,
|
||||
"grad_norm": 19.003461837768555,
|
||||
"learning_rate": 1.9791666666666664e-07,
|
||||
"logits/chosen": 1.8805112838745117,
|
||||
"logits/rejected": 1.8091768026351929,
|
||||
"logps/chosen": -289.0137023925781,
|
||||
"logps/ref_chosen": -288.9098815917969,
|
||||
"logps/ref_rejected": -254.6271514892578,
|
||||
"logps/rejected": -254.85696411132812,
|
||||
"loss": 41.2955,
|
||||
"r_dpo/chosen_len": 295.1187438964844,
|
||||
"r_dpo/length_delta": 54.203125,
|
||||
"r_dpo/regularization_term": 5.42031192779541,
|
||||
"r_dpo/rejected_len": 240.91561889648438,
|
||||
"step": 20
|
||||
},
|
||||
{
|
||||
"epoch": 0.06282722513089005,
|
||||
"grad_norm": 21.310501098632812,
|
||||
"learning_rate": 3.020833333333333e-07,
|
||||
"logits/chosen": 1.8696081638336182,
|
||||
"logits/rejected": 1.818481683731079,
|
||||
"logps/chosen": -269.52618408203125,
|
||||
"logps/ref_chosen": -270.3978576660156,
|
||||
"logps/ref_rejected": -247.89431762695312,
|
||||
"logps/rejected": -247.4498291015625,
|
||||
"loss": 43.6841,
|
||||
"r_dpo/chosen_len": 272.8062438964844,
|
||||
"r_dpo/length_delta": 25.693750381469727,
|
||||
"r_dpo/regularization_term": 2.5693750381469727,
|
||||
"r_dpo/rejected_len": 247.1125030517578,
|
||||
"step": 30
|
||||
},
|
||||
{
|
||||
"epoch": 0.08376963350785341,
|
||||
"grad_norm": 19.77940559387207,
|
||||
"learning_rate": 4.0625e-07,
|
||||
"logits/chosen": 1.8189456462860107,
|
||||
"logits/rejected": 1.8397687673568726,
|
||||
"logps/chosen": -275.187744140625,
|
||||
"logps/ref_chosen": -274.24859619140625,
|
||||
"logps/ref_rejected": -261.91693115234375,
|
||||
"logps/rejected": -264.21368408203125,
|
||||
"loss": 41.7583,
|
||||
"r_dpo/chosen_len": 284.7875061035156,
|
||||
"r_dpo/length_delta": 33.97187423706055,
|
||||
"r_dpo/regularization_term": 3.3971877098083496,
|
||||
"r_dpo/rejected_len": 250.8156280517578,
|
||||
"step": 40
|
||||
},
|
||||
{
|
||||
"epoch": 0.10471204188481675,
|
||||
"grad_norm": 23.84255027770996,
|
||||
"learning_rate": 4.999932966293553e-07,
|
||||
"logits/chosen": 1.8647778034210205,
|
||||
"logits/rejected": 1.9068819284439087,
|
||||
"logps/chosen": -280.23028564453125,
|
||||
"logps/ref_chosen": -270.4697570800781,
|
||||
"logps/ref_rejected": -271.0193176269531,
|
||||
"logps/rejected": -282.69647216796875,
|
||||
"loss": 43.553,
|
||||
"r_dpo/chosen_len": 294.27813720703125,
|
||||
"r_dpo/length_delta": 37.4375,
|
||||
"r_dpo/regularization_term": 3.7437500953674316,
|
||||
"r_dpo/rejected_len": 256.84063720703125,
|
||||
"step": 50
|
||||
},
|
||||
{
|
||||
"epoch": 0.1256544502617801,
|
||||
"grad_norm": 34.24372482299805,
|
||||
"learning_rate": 4.991893270335525e-07,
|
||||
"logits/chosen": 1.659531831741333,
|
||||
"logits/rejected": 1.6509793996810913,
|
||||
"logps/chosen": -291.05303955078125,
|
||||
"logps/ref_chosen": -273.5165710449219,
|
||||
"logps/ref_rejected": -257.33099365234375,
|
||||
"logps/rejected": -275.82696533203125,
|
||||
"loss": 46.1736,
|
||||
"r_dpo/chosen_len": 277.1875,
|
||||
"r_dpo/length_delta": 29.518749237060547,
|
||||
"r_dpo/regularization_term": 2.9518749713897705,
|
||||
"r_dpo/rejected_len": 247.6687469482422,
|
||||
"step": 60
|
||||
},
|
||||
{
|
||||
"epoch": 0.14659685863874344,
|
||||
"grad_norm": 31.267230987548828,
|
||||
"learning_rate": 4.970496218214204e-07,
|
||||
"logits/chosen": 1.6715799570083618,
|
||||
"logits/rejected": 1.7152721881866455,
|
||||
"logps/chosen": -303.29656982421875,
|
||||
"logps/ref_chosen": -279.4599914550781,
|
||||
"logps/ref_rejected": -274.3787536621094,
|
||||
"logps/rejected": -300.0,
|
||||
"loss": 41.8889,
|
||||
"r_dpo/chosen_len": 269.234375,
|
||||
"r_dpo/length_delta": 14.634374618530273,
|
||||
"r_dpo/regularization_term": 1.4634376764297485,
|
||||
"r_dpo/rejected_len": 254.60000610351562,
|
||||
"step": 70
|
||||
},
|
||||
{
|
||||
"epoch": 0.16753926701570682,
|
||||
"grad_norm": 86.9355697631836,
|
||||
"learning_rate": 4.935856505068998e-07,
|
||||
"logits/chosen": 1.5558438301086426,
|
||||
"logits/rejected": 1.589551568031311,
|
||||
"logps/chosen": -319.4896545410156,
|
||||
"logps/ref_chosen": -272.08538818359375,
|
||||
"logps/ref_rejected": -255.73300170898438,
|
||||
"logps/rejected": -304.3583984375,
|
||||
"loss": 44.2864,
|
||||
"r_dpo/chosen_len": 270.97186279296875,
|
||||
"r_dpo/length_delta": 32.712501525878906,
|
||||
"r_dpo/regularization_term": 3.2712502479553223,
|
||||
"r_dpo/rejected_len": 238.25936889648438,
|
||||
"step": 80
|
||||
},
|
||||
{
|
||||
"epoch": 0.18848167539267016,
|
||||
"grad_norm": 53.2010498046875,
|
||||
"learning_rate": 4.8881598109976e-07,
|
||||
"logits/chosen": 1.4091914892196655,
|
||||
"logits/rejected": 1.4223301410675049,
|
||||
"logps/chosen": -342.06500244140625,
|
||||
"logps/ref_chosen": -269.1466369628906,
|
||||
"logps/ref_rejected": -247.70956420898438,
|
||||
"logps/rejected": -320.5975341796875,
|
||||
"loss": 43.205,
|
||||
"r_dpo/chosen_len": 278.11248779296875,
|
||||
"r_dpo/length_delta": 47.27812576293945,
|
||||
"r_dpo/regularization_term": 4.727812767028809,
|
||||
"r_dpo/rejected_len": 230.83438110351562,
|
||||
"step": 90
|
||||
},
|
||||
{
|
||||
"epoch": 0.2094240837696335,
|
||||
"grad_norm": 221.70379638671875,
|
||||
"learning_rate": 4.827661805750437e-07,
|
||||
"logits/chosen": 1.171535849571228,
|
||||
"logits/rejected": 1.1951229572296143,
|
||||
"logps/chosen": -339.74676513671875,
|
||||
"logps/ref_chosen": -265.9335632324219,
|
||||
"logps/ref_rejected": -270.045654296875,
|
||||
"logps/rejected": -358.4281921386719,
|
||||
"loss": 41.9093,
|
||||
"r_dpo/chosen_len": 278.3656311035156,
|
||||
"r_dpo/length_delta": 22.96875,
|
||||
"r_dpo/regularization_term": 2.296875,
|
||||
"r_dpo/rejected_len": 255.39688110351562,
|
||||
"step": 100
|
||||
},
|
||||
{
|
||||
"epoch": 0.23036649214659685,
|
||||
"grad_norm": 206.1243438720703,
|
||||
"learning_rate": 4.75468677825789e-07,
|
||||
"logits/chosen": 1.2150897979736328,
|
||||
"logits/rejected": 1.3317502737045288,
|
||||
"logps/chosen": -387.6827087402344,
|
||||
"logps/ref_chosen": -265.02532958984375,
|
||||
"logps/ref_rejected": -259.968017578125,
|
||||
"logps/rejected": -389.2899475097656,
|
||||
"loss": 36.8666,
|
||||
"r_dpo/chosen_len": 287.140625,
|
||||
"r_dpo/length_delta": 50.765625,
|
||||
"r_dpo/regularization_term": 5.076562881469727,
|
||||
"r_dpo/rejected_len": 236.375,
|
||||
"step": 110
|
||||
},
|
||||
{
|
||||
"epoch": 0.2513089005235602,
|
||||
"grad_norm": 155.615966796875,
|
||||
"learning_rate": 4.669625898336438e-07,
|
||||
"logits/chosen": 1.069676399230957,
|
||||
"logits/rejected": 1.0872914791107178,
|
||||
"logps/chosen": -421.203125,
|
||||
"logps/ref_chosen": -262.50323486328125,
|
||||
"logps/ref_rejected": -268.14996337890625,
|
||||
"logps/rejected": -438.32208251953125,
|
||||
"loss": 40.1069,
|
||||
"r_dpo/chosen_len": 266.70001220703125,
|
||||
"r_dpo/length_delta": 16.190624237060547,
|
||||
"r_dpo/regularization_term": 1.6190624237060547,
|
||||
"r_dpo/rejected_len": 250.50936889648438,
|
||||
"step": 120
|
||||
},
|
||||
{
|
||||
"epoch": 0.27225130890052357,
|
||||
"grad_norm": 440.5760498046875,
|
||||
"learning_rate": 4.5729351198915705e-07,
|
||||
"logits/chosen": 0.7952426671981812,
|
||||
"logits/rejected": 0.9414566159248352,
|
||||
"logps/chosen": -471.2674865722656,
|
||||
"logps/ref_chosen": -267.5928039550781,
|
||||
"logps/ref_rejected": -272.86810302734375,
|
||||
"logps/rejected": -491.12835693359375,
|
||||
"loss": 41.9211,
|
||||
"r_dpo/chosen_len": 268.75,
|
||||
"r_dpo/length_delta": 19.178125381469727,
|
||||
"r_dpo/regularization_term": 1.9178125858306885,
|
||||
"r_dpo/rejected_len": 249.57186889648438,
|
||||
"step": 130
|
||||
},
|
||||
{
|
||||
"epoch": 0.2931937172774869,
|
||||
"grad_norm": 194.5912322998047,
|
||||
"learning_rate": 4.4651327368569684e-07,
|
||||
"logits/chosen": 0.6943808794021606,
|
||||
"logits/rejected": 0.750653088092804,
|
||||
"logps/chosen": -524.4630126953125,
|
||||
"logps/ref_chosen": -268.4759521484375,
|
||||
"logps/ref_rejected": -254.6080780029297,
|
||||
"logps/rejected": -514.9945678710938,
|
||||
"loss": 40.9788,
|
||||
"r_dpo/chosen_len": 261.46875,
|
||||
"r_dpo/length_delta": 21.350000381469727,
|
||||
"r_dpo/regularization_term": 2.135000228881836,
|
||||
"r_dpo/rejected_len": 240.11874389648438,
|
||||
"step": 140
|
||||
},
|
||||
{
|
||||
"epoch": 0.31413612565445026,
|
||||
"grad_norm": 271.27703857421875,
|
||||
"learning_rate": 4.346796604970912e-07,
|
||||
"logits/chosen": 0.33445867896080017,
|
||||
"logits/rejected": 0.435607373714447,
|
||||
"logps/chosen": -838.4150390625,
|
||||
"logps/ref_chosen": -290.3619384765625,
|
||||
"logps/ref_rejected": -252.4545135498047,
|
||||
"logps/rejected": -750.5610961914062,
|
||||
"loss": 32.2283,
|
||||
"r_dpo/chosen_len": 286.29998779296875,
|
||||
"r_dpo/length_delta": 48.62187576293945,
|
||||
"r_dpo/regularization_term": 4.862187385559082,
|
||||
"r_dpo/rejected_len": 237.67813110351562,
|
||||
"step": 150
|
||||
},
|
||||
{
|
||||
"epoch": 0.33507853403141363,
|
||||
"grad_norm": 1304.436279296875,
|
||||
"learning_rate": 4.218561044282098e-07,
|
||||
"logits/chosen": -0.5341374278068542,
|
||||
"logits/rejected": -0.3209038972854614,
|
||||
"logps/chosen": -1746.661376953125,
|
||||
"logps/ref_chosen": -272.7589111328125,
|
||||
"logps/ref_rejected": -252.6876678466797,
|
||||
"logps/rejected": -1500.4178466796875,
|
||||
"loss": 23.2094,
|
||||
"r_dpo/chosen_len": 271.48748779296875,
|
||||
"r_dpo/length_delta": 41.578125,
|
||||
"r_dpo/regularization_term": 4.157812118530273,
|
||||
"r_dpo/rejected_len": 229.9093780517578,
|
||||
"step": 160
|
||||
},
|
||||
{
|
||||
"epoch": 0.35602094240837695,
|
||||
"grad_norm": 672.2740478515625,
|
||||
"learning_rate": 4.081113438988443e-07,
|
||||
"logits/chosen": -0.30694156885147095,
|
||||
"logits/rejected": -0.16359911859035492,
|
||||
"logps/chosen": -2336.08984375,
|
||||
"logps/ref_chosen": -281.5549621582031,
|
||||
"logps/ref_rejected": -238.20858764648438,
|
||||
"logps/rejected": -2039.7515869140625,
|
||||
"loss": 10.9533,
|
||||
"r_dpo/chosen_len": 288.2718811035156,
|
||||
"r_dpo/length_delta": 47.34375,
|
||||
"r_dpo/regularization_term": 4.734375476837158,
|
||||
"r_dpo/rejected_len": 240.92813110351562,
|
||||
"step": 170
|
||||
},
|
||||
{
|
||||
"epoch": 0.3769633507853403,
|
||||
"grad_norm": 437.60687255859375,
|
||||
"learning_rate": 3.935190552834828e-07,
|
||||
"logits/chosen": -0.3067488968372345,
|
||||
"logits/rejected": -0.20810024440288544,
|
||||
"logps/chosen": -2306.261474609375,
|
||||
"logps/ref_chosen": -278.9187927246094,
|
||||
"logps/ref_rejected": -248.9375457763672,
|
||||
"logps/rejected": -2002.85546875,
|
||||
"loss": 9.0173,
|
||||
"r_dpo/chosen_len": 269.1656188964844,
|
||||
"r_dpo/length_delta": 41.087501525878906,
|
||||
"r_dpo/regularization_term": 4.108750343322754,
|
||||
"r_dpo/rejected_len": 228.078125,
|
||||
"step": 180
|
||||
},
|
||||
{
|
||||
"epoch": 0.39790575916230364,
|
||||
"grad_norm": 321.61346435546875,
|
||||
"learning_rate": 3.781574579820464e-07,
|
||||
"logits/chosen": 0.40285807847976685,
|
||||
"logits/rejected": 0.36570462584495544,
|
||||
"logps/chosen": -2637.16845703125,
|
||||
"logps/ref_chosen": -272.6444091796875,
|
||||
"logps/ref_rejected": -251.23965454101562,
|
||||
"logps/rejected": -2281.21337890625,
|
||||
"loss": 7.2881,
|
||||
"r_dpo/chosen_len": 280.03436279296875,
|
||||
"r_dpo/length_delta": 43.209373474121094,
|
||||
"r_dpo/regularization_term": 4.320937156677246,
|
||||
"r_dpo/rejected_len": 236.8249969482422,
|
||||
"step": 190
|
||||
},
|
||||
{
|
||||
"epoch": 0.418848167539267,
|
||||
"grad_norm": 389.5361022949219,
|
||||
"learning_rate": 3.621088951385353e-07,
|
||||
"logits/chosen": 0.8133895993232727,
|
||||
"logits/rejected": 0.7692806720733643,
|
||||
"logps/chosen": -2436.361083984375,
|
||||
"logps/ref_chosen": -247.26144409179688,
|
||||
"logps/ref_rejected": -240.1345977783203,
|
||||
"logps/rejected": -2211.449951171875,
|
||||
"loss": 6.6608,
|
||||
"r_dpo/chosen_len": 249.71249389648438,
|
||||
"r_dpo/length_delta": 27.921875,
|
||||
"r_dpo/regularization_term": 2.7921876907348633,
|
||||
"r_dpo/rejected_len": 221.79061889648438,
|
||||
"step": 200
|
||||
},
|
||||
{
|
||||
"epoch": 0.418848167539267,
|
||||
"eval_logits/chosen": 0.6076958775520325,
|
||||
"eval_logits/rejected": 0.5855662822723389,
|
||||
"eval_logps/chosen": -2819.177978515625,
|
||||
"eval_logps/ref_chosen": -281.4849548339844,
|
||||
"eval_logps/ref_rejected": -261.800537109375,
|
||||
"eval_logps/rejected": -2438.321044921875,
|
||||
"eval_loss": 0.7287593483924866,
|
||||
"eval_r_dpo/chosen_len": 294.4800109863281,
|
||||
"eval_r_dpo/length_delta": 44.61000061035156,
|
||||
"eval_r_dpo/regularization_term": 4.461000442504883,
|
||||
"eval_r_dpo/rejected_len": 249.8699951171875,
|
||||
"eval_runtime": 97.4324,
|
||||
"eval_samples_per_second": 20.527,
|
||||
"eval_steps_per_second": 1.283,
|
||||
"step": 200
|
||||
},
|
||||
{
|
||||
"epoch": 0.4397905759162304,
|
||||
"grad_norm": 347.1392517089844,
|
||||
"learning_rate": 3.454593922550693e-07,
|
||||
"logits/chosen": 0.6368786692619324,
|
||||
"logits/rejected": 0.5997772216796875,
|
||||
"logps/chosen": -2782.99755859375,
|
||||
"logps/ref_chosen": -280.40606689453125,
|
||||
"logps/ref_rejected": -259.3473205566406,
|
||||
"logps/rejected": -2457.272705078125,
|
||||
"loss": 6.155,
|
||||
"r_dpo/chosen_len": 282.6156311035156,
|
||||
"r_dpo/length_delta": 36.171875,
|
||||
"r_dpo/regularization_term": 3.6171875,
|
||||
"r_dpo/rejected_len": 246.44375610351562,
|
||||
"step": 210
|
||||
},
|
||||
{
|
||||
"epoch": 0.4607329842931937,
|
||||
"grad_norm": 168.1587371826172,
|
||||
"learning_rate": 3.2829819606729477e-07,
|
||||
"logits/chosen": 0.771518886089325,
|
||||
"logits/rejected": 0.7589208483695984,
|
||||
"logps/chosen": -2625.2099609375,
|
||||
"logps/ref_chosen": -276.30694580078125,
|
||||
"logps/ref_rejected": -268.7990417480469,
|
||||
"logps/rejected": -2493.98193359375,
|
||||
"loss": 5.5739,
|
||||
"r_dpo/chosen_len": 265.546875,
|
||||
"r_dpo/length_delta": 18.515625,
|
||||
"r_dpo/regularization_term": 1.8515625,
|
||||
"r_dpo/rejected_len": 247.03125,
|
||||
"step": 220
|
||||
},
|
||||
{
|
||||
"epoch": 0.4816753926701571,
|
||||
"grad_norm": 290.4512939453125,
|
||||
"learning_rate": 3.1071729615293424e-07,
|
||||
"logits/chosen": 0.2807890474796295,
|
||||
"logits/rejected": 0.27411508560180664,
|
||||
"logps/chosen": -2629.66943359375,
|
||||
"logps/ref_chosen": -265.4647216796875,
|
||||
"logps/ref_rejected": -251.6260223388672,
|
||||
"logps/rejected": -2396.610107421875,
|
||||
"loss": 5.3014,
|
||||
"r_dpo/chosen_len": 268.1812438964844,
|
||||
"r_dpo/length_delta": 31.868749618530273,
|
||||
"r_dpo/regularization_term": 3.1868748664855957,
|
||||
"r_dpo/rejected_len": 236.3125,
|
||||
"step": 230
|
||||
},
|
||||
{
|
||||
"epoch": 0.5026178010471204,
|
||||
"grad_norm": 200.7110137939453,
|
||||
"learning_rate": 2.9281093183781403e-07,
|
||||
"logits/chosen": 0.6274879574775696,
|
||||
"logits/rejected": 0.589483916759491,
|
||||
"logps/chosen": -2683.999267578125,
|
||||
"logps/ref_chosen": -262.2581481933594,
|
||||
"logps/ref_rejected": -251.36373901367188,
|
||||
"logps/rejected": -2375.33642578125,
|
||||
"loss": 5.475,
|
||||
"r_dpo/chosen_len": 275.421875,
|
||||
"r_dpo/length_delta": 37.65937423706055,
|
||||
"r_dpo/regularization_term": 3.765937328338623,
|
||||
"r_dpo/rejected_len": 237.7624969482422,
|
||||
"step": 240
|
||||
},
|
||||
{
|
||||
"epoch": 0.5235602094240838,
|
||||
"grad_norm": 328.9794921875,
|
||||
"learning_rate": 2.7467508704251135e-07,
|
||||
"logits/chosen": 0.4434322416782379,
|
||||
"logits/rejected": 0.4112902581691742,
|
||||
"logps/chosen": -2788.759765625,
|
||||
"logps/ref_chosen": -282.21917724609375,
|
||||
"logps/ref_rejected": -262.7974548339844,
|
||||
"logps/rejected": -2449.12939453125,
|
||||
"loss": 4.8484,
|
||||
"r_dpo/chosen_len": 280.37811279296875,
|
||||
"r_dpo/length_delta": 41.196876525878906,
|
||||
"r_dpo/regularization_term": 4.119687557220459,
|
||||
"r_dpo/rejected_len": 239.18124389648438,
|
||||
"step": 250
|
||||
},
|
||||
{
|
||||
"epoch": 0.5445026178010471,
|
||||
"grad_norm": 174.2191925048828,
|
||||
"learning_rate": 2.5640697577740815e-07,
|
||||
"logits/chosen": 0.510331392288208,
|
||||
"logits/rejected": 0.46630868315696716,
|
||||
"logps/chosen": -2726.13232421875,
|
||||
"logps/ref_chosen": -280.39166259765625,
|
||||
"logps/ref_rejected": -263.56573486328125,
|
||||
"logps/rejected": -2545.450439453125,
|
||||
"loss": 5.0081,
|
||||
"r_dpo/chosen_len": 273.4468688964844,
|
||||
"r_dpo/length_delta": 25.353124618530273,
|
||||
"r_dpo/regularization_term": 2.5353128910064697,
|
||||
"r_dpo/rejected_len": 248.09375,
|
||||
"step": 260
|
||||
},
|
||||
{
|
||||
"epoch": 0.5654450261780105,
|
||||
"grad_norm": 183.47354125976562,
|
||||
"learning_rate": 2.381045210440644e-07,
|
||||
"logits/chosen": 0.6359630823135376,
|
||||
"logits/rejected": 0.6186918020248413,
|
||||
"logps/chosen": -2736.114501953125,
|
||||
"logps/ref_chosen": -271.36041259765625,
|
||||
"logps/ref_rejected": -262.174072265625,
|
||||
"logps/rejected": -2623.23974609375,
|
||||
"loss": 5.0971,
|
||||
"r_dpo/chosen_len": 274.98126220703125,
|
||||
"r_dpo/length_delta": 19.128124237060547,
|
||||
"r_dpo/regularization_term": 1.9128128290176392,
|
||||
"r_dpo/rejected_len": 255.85311889648438,
|
||||
"step": 270
|
||||
},
|
||||
{
|
||||
"epoch": 0.5863874345549738,
|
||||
"grad_norm": 193.64608764648438,
|
||||
"learning_rate": 2.1986582993616925e-07,
|
||||
"logits/chosen": 0.2083236277103424,
|
||||
"logits/rejected": 0.16970780491828918,
|
||||
"logps/chosen": -2850.24462890625,
|
||||
"logps/ref_chosen": -293.512939453125,
|
||||
"logps/ref_rejected": -253.37246704101562,
|
||||
"logps/rejected": -2385.664794921875,
|
||||
"loss": 5.0361,
|
||||
"r_dpo/chosen_len": 287.9437561035156,
|
||||
"r_dpo/length_delta": 52.75312423706055,
|
||||
"r_dpo/regularization_term": 5.275312423706055,
|
||||
"r_dpo/rejected_len": 235.1906280517578,
|
||||
"step": 280
|
||||
},
|
||||
{
|
||||
"epoch": 0.6073298429319371,
|
||||
"grad_norm": 193.0575408935547,
|
||||
"learning_rate": 2.0178866775369774e-07,
|
||||
"logits/chosen": 0.7391489148139954,
|
||||
"logits/rejected": 0.714061975479126,
|
||||
"logps/chosen": -2967.319091796875,
|
||||
"logps/ref_chosen": -294.9578857421875,
|
||||
"logps/ref_rejected": -288.91802978515625,
|
||||
"logps/rejected": -2823.838623046875,
|
||||
"loss": 4.9628,
|
||||
"r_dpo/chosen_len": 298.48748779296875,
|
||||
"r_dpo/length_delta": 22.706249237060547,
|
||||
"r_dpo/regularization_term": 2.270624876022339,
|
||||
"r_dpo/rejected_len": 275.78125,
|
||||
"step": 290
|
||||
},
|
||||
{
|
||||
"epoch": 0.6282722513089005,
|
||||
"grad_norm": 167.63522338867188,
|
||||
"learning_rate": 1.839699339491937e-07,
|
||||
"logits/chosen": 0.733379065990448,
|
||||
"logits/rejected": 0.6921027898788452,
|
||||
"logps/chosen": -2751.304931640625,
|
||||
"logps/ref_chosen": -267.9673767089844,
|
||||
"logps/ref_rejected": -262.1747131347656,
|
||||
"logps/rejected": -2606.73583984375,
|
||||
"loss": 4.8425,
|
||||
"r_dpo/chosen_len": 269.3999938964844,
|
||||
"r_dpo/length_delta": 20.831249237060547,
|
||||
"r_dpo/regularization_term": 2.083124876022339,
|
||||
"r_dpo/rejected_len": 248.56875610351562,
|
||||
"step": 300
|
||||
},
|
||||
{
|
||||
"epoch": 0.6492146596858639,
|
||||
"grad_norm": 373.60211181640625,
|
||||
"learning_rate": 1.6650514271527465e-07,
|
||||
"logits/chosen": 0.473613440990448,
|
||||
"logits/rejected": 0.41956576704978943,
|
||||
"logps/chosen": -2961.7822265625,
|
||||
"logps/ref_chosen": -286.36895751953125,
|
||||
"logps/ref_rejected": -274.4711608886719,
|
||||
"logps/rejected": -2710.29736328125,
|
||||
"loss": 4.8166,
|
||||
"r_dpo/chosen_len": 296.7749938964844,
|
||||
"r_dpo/length_delta": 32.959373474121094,
|
||||
"r_dpo/regularization_term": 3.2959372997283936,
|
||||
"r_dpo/rejected_len": 263.81561279296875,
|
||||
"step": 310
|
||||
},
|
||||
{
|
||||
"epoch": 0.6701570680628273,
|
||||
"grad_norm": 178.9756317138672,
|
||||
"learning_rate": 1.4948791099758052e-07,
|
||||
"logits/chosen": 0.6881324648857117,
|
||||
"logits/rejected": 0.6306595802307129,
|
||||
"logps/chosen": -2834.637451171875,
|
||||
"logps/ref_chosen": -276.7845764160156,
|
||||
"logps/ref_rejected": -258.2370300292969,
|
||||
"logps/rejected": -2472.187744140625,
|
||||
"loss": 4.5986,
|
||||
"r_dpo/chosen_len": 282.578125,
|
||||
"r_dpo/length_delta": 45.78437423706055,
|
||||
"r_dpo/regularization_term": 4.578437805175781,
|
||||
"r_dpo/rejected_len": 236.7937469482422,
|
||||
"step": 320
|
||||
},
|
||||
{
|
||||
"epoch": 0.6910994764397905,
|
||||
"grad_norm": 184.68521118164062,
|
||||
"learning_rate": 1.3300945667758012e-07,
|
||||
"logits/chosen": 0.6964876651763916,
|
||||
"logits/rejected": 0.6566891670227051,
|
||||
"logps/chosen": -2763.50390625,
|
||||
"logps/ref_chosen": -275.9217529296875,
|
||||
"logps/ref_rejected": -267.70782470703125,
|
||||
"logps/rejected": -2724.64453125,
|
||||
"loss": 4.854,
|
||||
"r_dpo/chosen_len": 270.0531311035156,
|
||||
"r_dpo/length_delta": 12.415624618530273,
|
||||
"r_dpo/regularization_term": 1.2415623664855957,
|
||||
"r_dpo/rejected_len": 257.63751220703125,
|
||||
"step": 330
|
||||
},
|
||||
{
|
||||
"epoch": 0.7120418848167539,
|
||||
"grad_norm": 233.2672882080078,
|
||||
"learning_rate": 1.1715810961514072e-07,
|
||||
"logits/chosen": 0.45854058861732483,
|
||||
"logits/rejected": 0.4010751247406006,
|
||||
"logps/chosen": -2628.388671875,
|
||||
"logps/ref_chosen": -251.37319946289062,
|
||||
"logps/ref_rejected": -240.65988159179688,
|
||||
"logps/rejected": -2376.85595703125,
|
||||
"loss": 4.7891,
|
||||
"r_dpo/chosen_len": 258.17498779296875,
|
||||
"r_dpo/length_delta": 32.990623474121094,
|
||||
"r_dpo/regularization_term": 3.2990622520446777,
|
||||
"r_dpo/rejected_len": 225.1843719482422,
|
||||
"step": 340
|
||||
},
|
||||
{
|
||||
"epoch": 0.7329842931937173,
|
||||
"grad_norm": 246.9112548828125,
|
||||
"learning_rate": 1.0201883817182949e-07,
|
||||
"logits/chosen": 0.6637452840805054,
|
||||
"logits/rejected": 0.5826420187950134,
|
||||
"logps/chosen": -2949.142333984375,
|
||||
"logps/ref_chosen": -290.9896240234375,
|
||||
"logps/ref_rejected": -269.58502197265625,
|
||||
"logps/rejected": -2537.853271484375,
|
||||
"loss": 4.6654,
|
||||
"r_dpo/chosen_len": 284.6187438964844,
|
||||
"r_dpo/length_delta": 46.57500076293945,
|
||||
"r_dpo/regularization_term": 4.657500267028809,
|
||||
"r_dpo/rejected_len": 238.0437469482422,
|
||||
"step": 350
|
||||
},
|
||||
{
|
||||
"epoch": 0.7539267015706806,
|
||||
"grad_norm": 221.2776336669922,
|
||||
"learning_rate": 8.76727937529367e-08,
|
||||
"logits/chosen": 0.47227534651756287,
|
||||
"logits/rejected": 0.4251709580421448,
|
||||
"logps/chosen": -2778.8525390625,
|
||||
"logps/ref_chosen": -272.4156799316406,
|
||||
"logps/ref_rejected": -261.71087646484375,
|
||||
"logps/rejected": -2545.5712890625,
|
||||
"loss": 4.7021,
|
||||
"r_dpo/chosen_len": 275.23748779296875,
|
||||
"r_dpo/length_delta": 30.956249237060547,
|
||||
"r_dpo/regularization_term": 3.095625162124634,
|
||||
"r_dpo/rejected_len": 244.28125,
|
||||
"step": 360
|
||||
},
|
||||
{
|
||||
"epoch": 0.774869109947644,
|
||||
"grad_norm": 179.33848571777344,
|
||||
"learning_rate": 7.419687580962222e-08,
|
||||
"logits/chosen": 0.4994059205055237,
|
||||
"logits/rejected": 0.43345919251441956,
|
||||
"logps/chosen": -2812.973876953125,
|
||||
"logps/ref_chosen": -295.822998046875,
|
||||
"logps/ref_rejected": -263.49639892578125,
|
||||
"logps/rejected": -2578.302734375,
|
||||
"loss": 4.31,
|
||||
"r_dpo/chosen_len": 277.0718688964844,
|
||||
"r_dpo/length_delta": 33.87187576293945,
|
||||
"r_dpo/regularization_term": 3.3871874809265137,
|
||||
"r_dpo/rejected_len": 243.1999969482422,
|
||||
"step": 370
|
||||
},
|
||||
{
|
||||
"epoch": 0.7958115183246073,
|
||||
"grad_norm": 127.59620666503906,
|
||||
"learning_rate": 6.166331963291519e-08,
|
||||
"logits/chosen": 0.36374586820602417,
|
||||
"logits/rejected": 0.3168891966342926,
|
||||
"logps/chosen": -2917.382568359375,
|
||||
"logps/ref_chosen": -292.1449890136719,
|
||||
"logps/ref_rejected": -262.7100524902344,
|
||||
"logps/rejected": -2657.446533203125,
|
||||
"loss": 4.4736,
|
||||
"r_dpo/chosen_len": 289.8687438964844,
|
||||
"r_dpo/length_delta": 33.578125,
|
||||
"r_dpo/regularization_term": 3.3578124046325684,
|
||||
"r_dpo/rejected_len": 256.2906188964844,
|
||||
"step": 380
|
||||
},
|
||||
{
|
||||
"epoch": 0.8167539267015707,
|
||||
"grad_norm": 180.08554077148438,
|
||||
"learning_rate": 5.013930914912476e-08,
|
||||
"logits/chosen": 0.6072987914085388,
|
||||
"logits/rejected": 0.5558676719665527,
|
||||
"logps/chosen": -2953.486083984375,
|
||||
"logps/ref_chosen": -286.49505615234375,
|
||||
"logps/ref_rejected": -274.98065185546875,
|
||||
"logps/rejected": -2727.49951171875,
|
||||
"loss": 4.5136,
|
||||
"r_dpo/chosen_len": 290.92498779296875,
|
||||
"r_dpo/length_delta": 31.337499618530273,
|
||||
"r_dpo/regularization_term": 3.1337499618530273,
|
||||
"r_dpo/rejected_len": 259.5874938964844,
|
||||
"step": 390
|
||||
},
|
||||
{
|
||||
"epoch": 0.837696335078534,
|
||||
"grad_norm": 181.38357543945312,
|
||||
"learning_rate": 3.968661679220467e-08,
|
||||
"logits/chosen": 0.6835483312606812,
|
||||
"logits/rejected": 0.6234606504440308,
|
||||
"logps/chosen": -2877.609130859375,
|
||||
"logps/ref_chosen": -289.52215576171875,
|
||||
"logps/ref_rejected": -254.75961303710938,
|
||||
"logps/rejected": -2525.186279296875,
|
||||
"loss": 4.5388,
|
||||
"r_dpo/chosen_len": 283.69061279296875,
|
||||
"r_dpo/length_delta": 40.421875,
|
||||
"r_dpo/regularization_term": 4.042187690734863,
|
||||
"r_dpo/rejected_len": 243.2687530517578,
|
||||
"step": 400
|
||||
},
|
||||
{
|
||||
"epoch": 0.837696335078534,
|
||||
"eval_logits/chosen": 0.6320263743400574,
|
||||
"eval_logits/rejected": 0.5333738327026367,
|
||||
"eval_logps/chosen": -2936.774658203125,
|
||||
"eval_logps/ref_chosen": -281.4849548339844,
|
||||
"eval_logps/ref_rejected": -261.800537109375,
|
||||
"eval_logps/rejected": -2579.16845703125,
|
||||
"eval_loss": 0.5469310879707336,
|
||||
"eval_r_dpo/chosen_len": 294.4800109863281,
|
||||
"eval_r_dpo/length_delta": 44.61000061035156,
|
||||
"eval_r_dpo/regularization_term": 4.461000442504883,
|
||||
"eval_r_dpo/rejected_len": 249.8699951171875,
|
||||
"eval_runtime": 96.769,
|
||||
"eval_samples_per_second": 20.668,
|
||||
"eval_steps_per_second": 1.292,
|
||||
"step": 400
|
||||
},
|
||||
{
|
||||
"epoch": 0.8586387434554974,
|
||||
"grad_norm": 192.98953247070312,
|
||||
"learning_rate": 3.036127238347164e-08,
|
||||
"logits/chosen": 0.8459997177124023,
|
||||
"logits/rejected": 0.8034231066703796,
|
||||
"logps/chosen": -2868.36279296875,
|
||||
"logps/ref_chosen": -282.5110778808594,
|
||||
"logps/ref_rejected": -269.2117004394531,
|
||||
"logps/rejected": -2660.260009765625,
|
||||
"loss": 4.6056,
|
||||
"r_dpo/chosen_len": 283.82501220703125,
|
||||
"r_dpo/length_delta": 27.762500762939453,
|
||||
"r_dpo/regularization_term": 2.7762503623962402,
|
||||
"r_dpo/rejected_len": 256.0625,
|
||||
"step": 410
|
||||
},
|
||||
{
|
||||
"epoch": 0.8795811518324608,
|
||||
"grad_norm": 174.4208526611328,
|
||||
"learning_rate": 2.2213262793589482e-08,
|
||||
"logits/chosen": 0.7089523077011108,
|
||||
"logits/rejected": 0.6533206105232239,
|
||||
"logps/chosen": -3067.21728515625,
|
||||
"logps/ref_chosen": -300.7202453613281,
|
||||
"logps/ref_rejected": -276.92340087890625,
|
||||
"logps/rejected": -2775.168701171875,
|
||||
"loss": 4.254,
|
||||
"r_dpo/chosen_len": 298.9937438964844,
|
||||
"r_dpo/length_delta": 37.178123474121094,
|
||||
"r_dpo/regularization_term": 3.7178127765655518,
|
||||
"r_dpo/rejected_len": 261.81561279296875,
|
||||
"step": 420
|
||||
},
|
||||
{
|
||||
"epoch": 0.900523560209424,
|
||||
"grad_norm": 184.81227111816406,
|
||||
"learning_rate": 1.5286263996730026e-08,
|
||||
"logits/chosen": 0.6772060990333557,
|
||||
"logits/rejected": 0.5796979665756226,
|
||||
"logps/chosen": -2999.145263671875,
|
||||
"logps/ref_chosen": -287.7877502441406,
|
||||
"logps/ref_rejected": -262.2414245605469,
|
||||
"logps/rejected": -2588.61669921875,
|
||||
"loss": 4.3751,
|
||||
"r_dpo/chosen_len": 292.76251220703125,
|
||||
"r_dpo/length_delta": 49.0,
|
||||
"r_dpo/regularization_term": 4.900000095367432,
|
||||
"r_dpo/rejected_len": 243.7624969482422,
|
||||
"step": 430
|
||||
},
|
||||
{
|
||||
"epoch": 0.9214659685863874,
|
||||
"grad_norm": 175.2359619140625,
|
||||
"learning_rate": 9.617406953185136e-09,
|
||||
"logits/chosen": 0.6800681352615356,
|
||||
"logits/rejected": 0.6796324849128723,
|
||||
"logps/chosen": -2927.792236328125,
|
||||
"logps/ref_chosen": -286.9573669433594,
|
||||
"logps/ref_rejected": -285.1015319824219,
|
||||
"logps/rejected": -2881.3701171875,
|
||||
"loss": 4.664,
|
||||
"r_dpo/chosen_len": 289.5218811035156,
|
||||
"r_dpo/length_delta": 13.934374809265137,
|
||||
"r_dpo/regularization_term": 1.3934376239776611,
|
||||
"r_dpo/rejected_len": 275.5874938964844,
|
||||
"step": 440
|
||||
},
|
||||
{
|
||||
"epoch": 0.9424083769633508,
|
||||
"grad_norm": 213.96315002441406,
|
||||
"learning_rate": 5.2370785753763356e-09,
|
||||
"logits/chosen": 0.702254056930542,
|
||||
"logits/rejected": 0.6395606994628906,
|
||||
"logps/chosen": -2904.09423828125,
|
||||
"logps/ref_chosen": -288.1899719238281,
|
||||
"logps/ref_rejected": -258.13909912109375,
|
||||
"logps/rejected": -2574.60986328125,
|
||||
"loss": 4.4079,
|
||||
"r_dpo/chosen_len": 285.5,
|
||||
"r_dpo/length_delta": 39.22187423706055,
|
||||
"r_dpo/regularization_term": 3.9221878051757812,
|
||||
"r_dpo/rejected_len": 246.2781219482422,
|
||||
"step": 450
|
||||
},
|
||||
{
|
||||
"epoch": 0.9633507853403142,
|
||||
"grad_norm": 308.9233703613281,
|
||||
"learning_rate": 2.168758844148272e-09,
|
||||
"logits/chosen": 0.7860502600669861,
|
||||
"logits/rejected": 0.6886175870895386,
|
||||
"logps/chosen": -2969.99609375,
|
||||
"logps/ref_chosen": -304.67333984375,
|
||||
"logps/ref_rejected": -275.60491943359375,
|
||||
"logps/rejected": -2588.6171875,
|
||||
"loss": 4.4801,
|
||||
"r_dpo/chosen_len": 291.12188720703125,
|
||||
"r_dpo/length_delta": 44.39374923706055,
|
||||
"r_dpo/regularization_term": 4.439374923706055,
|
||||
"r_dpo/rejected_len": 246.72811889648438,
|
||||
"step": 460
|
||||
},
|
||||
{
|
||||
"epoch": 0.9842931937172775,
|
||||
"grad_norm": 133.6565704345703,
|
||||
"learning_rate": 4.288949484559934e-10,
|
||||
"logits/chosen": 0.6798645853996277,
|
||||
"logits/rejected": 0.6197268962860107,
|
||||
"logps/chosen": -2756.23876953125,
|
||||
"logps/ref_chosen": -270.48248291015625,
|
||||
"logps/ref_rejected": -253.36062622070312,
|
||||
"logps/rejected": -2583.438232421875,
|
||||
"loss": 4.3438,
|
||||
"r_dpo/chosen_len": 271.95623779296875,
|
||||
"r_dpo/length_delta": 25.784374237060547,
|
||||
"r_dpo/regularization_term": 2.578437566757202,
|
||||
"r_dpo/rejected_len": 246.171875,
|
||||
"step": 470
|
||||
},
|
||||
{
|
||||
"epoch": 0.9989528795811519,
|
||||
"step": 477,
|
||||
"total_flos": 0.0,
|
||||
"train_loss": 17.04746322311945,
|
||||
"train_runtime": 7166.7787,
|
||||
"train_samples_per_second": 8.53,
|
||||
"train_steps_per_second": 0.067
|
||||
}
|
||||
],
|
||||
"logging_steps": 10,
|
||||
"max_steps": 477,
|
||||
"num_input_tokens_seen": 0,
|
||||
"num_train_epochs": 1,
|
||||
"save_steps": 50,
|
||||
"stateful_callbacks": {
|
||||
"TrainerControl": {
|
||||
"args": {
|
||||
"should_epoch_stop": false,
|
||||
"should_evaluate": false,
|
||||
"should_log": false,
|
||||
"should_save": false,
|
||||
"should_training_stop": false
|
||||
},
|
||||
"attributes": {}
|
||||
}
|
||||
},
|
||||
"total_flos": 0.0,
|
||||
"train_batch_size": 4,
|
||||
"trial_name": null,
|
||||
"trial_params": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user