初始化项目，由ModelHub XC社区提供模型
Model: mlfoundations-dev/c1_math_0d_4s_1k Source: Original Platform
This commit is contained in:
ModelHub XC
56
.gitattributes
vendored
Normal file
56
.gitattributes
vendored
Normal file
@@ -0,0 +1,56 @@
|
||||
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||
|
||||
|
||||
*.bz2 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
|
||||
*.model filter=lfs diff=lfs merge=lfs -text
|
||||
*.msgpack 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
|
||||
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||
saved_model/**/* 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
|
||||
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||
*.zstandard filter=lfs diff=lfs merge=lfs -text
|
||||
*.tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
*.db* filter=lfs diff=lfs merge=lfs -text
|
||||
*.ark* filter=lfs diff=lfs merge=lfs -text
|
||||
**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text
|
||||
**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text
|
||||
**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text
|
||||
|
||||
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||
*.gguf* filter=lfs diff=lfs merge=lfs -text
|
||||
*.ggml filter=lfs diff=lfs merge=lfs -text
|
||||
*.llamafile* filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
|
||||
model-00004-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
model-00002-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
training_args.bin filter=lfs diff=lfs merge=lfs -text
|
||||
merges.txt filter=lfs diff=lfs merge=lfs -text
|
||||
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||
model-00001-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
vocab.json filter=lfs diff=lfs merge=lfs -text
|
||||
model-00003-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
61
README.md
Normal file
61
README.md
Normal file
@@ -0,0 +1,61 @@
|
||||
---
|
||||
library_name: transformers
|
||||
license: other
|
||||
base_model: Qwen/Qwen2.5-7B-Instruct
|
||||
tags:
|
||||
- llama-factory
|
||||
- full
|
||||
- generated_from_trainer
|
||||
model-index:
|
||||
- name: c1_math_0d_4s_1k
|
||||
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. -->
|
||||
|
||||
# c1_math_0d_4s_1k
|
||||
|
||||
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/c1_math_0d_4s_1k dataset.
|
||||
|
||||
## 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: 2e-05
|
||||
- train_batch_size: 1
|
||||
- eval_batch_size: 8
|
||||
- seed: 42
|
||||
- distributed_type: multi-GPU
|
||||
- num_devices: 16
|
||||
- gradient_accumulation_steps: 6
|
||||
- total_train_batch_size: 96
|
||||
- total_eval_batch_size: 128
|
||||
- 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: 7.0
|
||||
|
||||
### Training results
|
||||
|
||||
|
||||
|
||||
### Framework versions
|
||||
|
||||
- Transformers 4.46.1
|
||||
- Pytorch 2.6.0a0+ecf3bae40a.nv25.01
|
||||
- Datasets 3.5.0
|
||||
- Tokenizers 0.20.3
|
||||
24
added_tokens.json
Normal file
24
added_tokens.json
Normal file
@@ -0,0 +1,24 @@
|
||||
{
|
||||
"</tool_call>": 151658,
|
||||
"<tool_call>": 151657,
|
||||
"<|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
|
||||
}
|
||||
8
all_results.json
Normal file
8
all_results.json
Normal file
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"epoch": 6.666666666666667,
|
||||
"total_flos": 2.3990446016220365e+17,
|
||||
"train_loss": 0.4939488410949707,
|
||||
"train_runtime": 2825.0166,
|
||||
"train_samples_per_second": 2.478,
|
||||
"train_steps_per_second": 0.025
|
||||
}
|
||||
29
config.json
Normal file
29
config.json
Normal file
@@ -0,0 +1,29 @@
|
||||
{
|
||||
"_name_or_path": "/p/data1/mmlaion/dcft/hub/models--Qwen--Qwen2.5-7B-Instruct/snapshots/a09a35458c702b33eeacc393d103063234e8bc28",
|
||||
"architectures": [
|
||||
"Qwen2ForCausalLM"
|
||||
],
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"eos_token_id": 151645,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 3584,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 18944,
|
||||
"max_position_embeddings": 32768,
|
||||
"max_window_layers": 28,
|
||||
"model_type": "qwen2",
|
||||
"num_attention_heads": 28,
|
||||
"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 4,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 1000000.0,
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.46.1",
|
||||
"use_cache": false,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 152064
|
||||
}
|
||||
1
configuration.json
Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
||||
{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
|
||||
14
generation_config.json
Normal file
14
generation_config.json
Normal file
@@ -0,0 +1,14 @@
|
||||
{
|
||||
"bos_token_id": 151643,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
151645,
|
||||
151643
|
||||
],
|
||||
"pad_token_id": 151643,
|
||||
"repetition_penalty": 1.05,
|
||||
"temperature": 0.7,
|
||||
"top_k": 20,
|
||||
"top_p": 0.8,
|
||||
"transformers_version": "4.46.1"
|
||||
}
|
||||
BIN
merges.txt
(Stored with Git LFS)
Normal file
BIN
merges.txt
(Stored with Git LFS)
Normal file
Binary file not shown.
3
model-00001-of-00004.safetensors
Normal file
3
model-00001-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:6f1317f06f0a15ce06a18e351f1e1267a8a4ddec9f5a484f25cb29f5c4991a4c
|
||||
size 4877660776
|
||||
3
model-00002-of-00004.safetensors
Normal file
3
model-00002-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:805383c8ba1a7471e6181570dd5de7de24976db65be3c771aad1ac37a2cb1a0b
|
||||
size 4932751008
|
||||
3
model-00003-of-00004.safetensors
Normal file
3
model-00003-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3a07c4ee21ccbd74e6875ee6b8f1fc99464c2bf84c99766de1f9a4b6982731e0
|
||||
size 4330865200
|
||||
3
model-00004-of-00004.safetensors
Normal file
3
model-00004-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4c50cd4f38d985c2e4a494e6791cf5774bb9f923ec0ba8e080d0c1610bc9396a
|
||||
size 1089994880
|
||||
346
model.safetensors.index.json
Normal file
346
model.safetensors.index.json
Normal file
@@ -0,0 +1,346 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 15231233024
|
||||
},
|
||||
"weight_map": {
|
||||
"lm_head.weight": "model-00004-of-00004.safetensors",
|
||||
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00003-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:16727f413c55204babc8220a5cc343fc33427d30aa1cb6b41d345e43c48fe906
|
||||
size 20352
|
||||
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
|
||||
}
|
||||
}
|
||||
1
start_end.json
Normal file
1
start_end.json
Normal file
@@ -0,0 +1 @@
|
||||
{"start_time": "2025-04-26 23:29:38", "end_time": "2025-04-27 00:17:39"}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
||||
size 11421896
|
||||
208
tokenizer_config.json
Normal file
208
tokenizer_config.json
Normal file
@@ -0,0 +1,208 @@
|
||||
{
|
||||
"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
|
||||
}
|
||||
},
|
||||
"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 {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\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 {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) 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{%- endif %}\n",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|endoftext|>",
|
||||
"errors": "replace",
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"padding_side": "right",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
8
train_results.json
Normal file
8
train_results.json
Normal file
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"epoch": 6.666666666666667,
|
||||
"total_flos": 2.3990446016220365e+17,
|
||||
"train_loss": 0.4939488410949707,
|
||||
"train_runtime": 2825.0166,
|
||||
"train_samples_per_second": 2.478,
|
||||
"train_steps_per_second": 0.025
|
||||
}
|
||||
71
trainer_log.jsonl
Normal file
71
trainer_log.jsonl
Normal file
@@ -0,0 +1,71 @@
|
||||
{"current_steps": 1, "total_steps": 70, "loss": 0.8419, "lr": 2.8571428571428573e-06, "epoch": 0.09523809523809523, "percentage": 1.43, "elapsed_time": "0:00:46", "remaining_time": "0:53:47"}
|
||||
{"current_steps": 2, "total_steps": 70, "loss": 0.8347, "lr": 5.7142857142857145e-06, "epoch": 0.19047619047619047, "percentage": 2.86, "elapsed_time": "0:01:24", "remaining_time": "0:47:53"}
|
||||
{"current_steps": 3, "total_steps": 70, "loss": 0.7892, "lr": 8.571428571428571e-06, "epoch": 0.2857142857142857, "percentage": 4.29, "elapsed_time": "0:02:02", "remaining_time": "0:45:34"}
|
||||
{"current_steps": 4, "total_steps": 70, "loss": 0.7191, "lr": 1.1428571428571429e-05, "epoch": 0.38095238095238093, "percentage": 5.71, "elapsed_time": "0:02:37", "remaining_time": "0:43:24"}
|
||||
{"current_steps": 5, "total_steps": 70, "loss": 0.7275, "lr": 1.4285714285714287e-05, "epoch": 0.47619047619047616, "percentage": 7.14, "elapsed_time": "0:03:14", "remaining_time": "0:42:02"}
|
||||
{"current_steps": 6, "total_steps": 70, "loss": 0.7245, "lr": 1.7142857142857142e-05, "epoch": 0.5714285714285714, "percentage": 8.57, "elapsed_time": "0:03:51", "remaining_time": "0:41:05"}
|
||||
{"current_steps": 7, "total_steps": 70, "loss": 0.6869, "lr": 2e-05, "epoch": 0.6666666666666666, "percentage": 10.0, "elapsed_time": "0:04:28", "remaining_time": "0:40:17"}
|
||||
{"current_steps": 8, "total_steps": 70, "loss": 0.6701, "lr": 1.9987569212189224e-05, "epoch": 0.7619047619047619, "percentage": 11.43, "elapsed_time": "0:05:07", "remaining_time": "0:39:43"}
|
||||
{"current_steps": 9, "total_steps": 70, "loss": 0.6473, "lr": 1.9950307753654016e-05, "epoch": 0.8571428571428571, "percentage": 12.86, "elapsed_time": "0:05:45", "remaining_time": "0:39:02"}
|
||||
{"current_steps": 10, "total_steps": 70, "loss": 0.6124, "lr": 1.9888308262251286e-05, "epoch": 0.9523809523809523, "percentage": 14.29, "elapsed_time": "0:06:23", "remaining_time": "0:38:22"}
|
||||
{"current_steps": 11, "total_steps": 70, "loss": 0.9323, "lr": 1.9801724878485438e-05, "epoch": 1.0476190476190477, "percentage": 15.71, "elapsed_time": "0:07:22", "remaining_time": "0:39:33"}
|
||||
{"current_steps": 12, "total_steps": 70, "loss": 0.5877, "lr": 1.969077286229078e-05, "epoch": 1.1428571428571428, "percentage": 17.14, "elapsed_time": "0:08:01", "remaining_time": "0:38:47"}
|
||||
{"current_steps": 13, "total_steps": 70, "loss": 0.5601, "lr": 1.955572805786141e-05, "epoch": 1.2380952380952381, "percentage": 18.57, "elapsed_time": "0:08:37", "remaining_time": "0:37:49"}
|
||||
{"current_steps": 14, "total_steps": 70, "loss": 0.5828, "lr": 1.9396926207859085e-05, "epoch": 1.3333333333333333, "percentage": 20.0, "elapsed_time": "0:09:15", "remaining_time": "0:37:03"}
|
||||
{"current_steps": 15, "total_steps": 70, "loss": 0.5557, "lr": 1.921476211870408e-05, "epoch": 1.4285714285714286, "percentage": 21.43, "elapsed_time": "0:09:55", "remaining_time": "0:36:24"}
|
||||
{"current_steps": 16, "total_steps": 70, "loss": 0.5344, "lr": 1.900968867902419e-05, "epoch": 1.5238095238095237, "percentage": 22.86, "elapsed_time": "0:10:31", "remaining_time": "0:35:30"}
|
||||
{"current_steps": 17, "total_steps": 70, "loss": 0.5558, "lr": 1.8782215733702286e-05, "epoch": 1.619047619047619, "percentage": 24.29, "elapsed_time": "0:11:08", "remaining_time": "0:34:43"}
|
||||
{"current_steps": 18, "total_steps": 70, "loss": 0.5179, "lr": 1.8532908816321557e-05, "epoch": 1.7142857142857144, "percentage": 25.71, "elapsed_time": "0:11:45", "remaining_time": "0:33:57"}
|
||||
{"current_steps": 19, "total_steps": 70, "loss": 0.529, "lr": 1.826238774315995e-05, "epoch": 1.8095238095238095, "percentage": 27.14, "elapsed_time": "0:12:24", "remaining_time": "0:33:18"}
|
||||
{"current_steps": 20, "total_steps": 70, "loss": 0.528, "lr": 1.7971325072229227e-05, "epoch": 1.9047619047619047, "percentage": 28.57, "elapsed_time": "0:13:00", "remaining_time": "0:32:32"}
|
||||
{"current_steps": 21, "total_steps": 70, "loss": 0.7894, "lr": 1.766044443118978e-05, "epoch": 2.0, "percentage": 30.0, "elapsed_time": "0:13:38", "remaining_time": "0:31:50"}
|
||||
{"current_steps": 22, "total_steps": 70, "loss": 0.4923, "lr": 1.7330518718298263e-05, "epoch": 2.0952380952380953, "percentage": 31.43, "elapsed_time": "0:14:39", "remaining_time": "0:31:59"}
|
||||
{"current_steps": 23, "total_steps": 70, "loss": 0.4884, "lr": 1.698236818086073e-05, "epoch": 2.1904761904761907, "percentage": 32.86, "elapsed_time": "0:15:16", "remaining_time": "0:31:13"}
|
||||
{"current_steps": 24, "total_steps": 70, "loss": 0.4665, "lr": 1.6616858375968596e-05, "epoch": 2.2857142857142856, "percentage": 34.29, "elapsed_time": "0:15:56", "remaining_time": "0:30:33"}
|
||||
{"current_steps": 25, "total_steps": 70, "loss": 0.4782, "lr": 1.6234898018587336e-05, "epoch": 2.380952380952381, "percentage": 35.71, "elapsed_time": "0:16:33", "remaining_time": "0:29:47"}
|
||||
{"current_steps": 26, "total_steps": 70, "loss": 0.4858, "lr": 1.5837436722347902e-05, "epoch": 2.4761904761904763, "percentage": 37.14, "elapsed_time": "0:17:11", "remaining_time": "0:29:05"}
|
||||
{"current_steps": 27, "total_steps": 70, "loss": 0.4796, "lr": 1.5425462638657597e-05, "epoch": 2.571428571428571, "percentage": 38.57, "elapsed_time": "0:17:48", "remaining_time": "0:28:21"}
|
||||
{"current_steps": 28, "total_steps": 70, "loss": 0.4516, "lr": 1.5000000000000002e-05, "epoch": 2.6666666666666665, "percentage": 40.0, "elapsed_time": "0:18:25", "remaining_time": "0:27:38"}
|
||||
{"current_steps": 29, "total_steps": 70, "loss": 0.4749, "lr": 1.4562106573531632e-05, "epoch": 2.761904761904762, "percentage": 41.43, "elapsed_time": "0:19:00", "remaining_time": "0:26:52"}
|
||||
{"current_steps": 30, "total_steps": 70, "loss": 0.467, "lr": 1.4112871031306118e-05, "epoch": 2.857142857142857, "percentage": 42.86, "elapsed_time": "0:19:38", "remaining_time": "0:26:10"}
|
||||
{"current_steps": 31, "total_steps": 70, "loss": 0.4706, "lr": 1.3653410243663953e-05, "epoch": 2.9523809523809526, "percentage": 44.29, "elapsed_time": "0:20:16", "remaining_time": "0:25:30"}
|
||||
{"current_steps": 32, "total_steps": 70, "loss": 0.6569, "lr": 1.3184866502516846e-05, "epoch": 3.0476190476190474, "percentage": 45.71, "elapsed_time": "0:21:13", "remaining_time": "0:25:12"}
|
||||
{"current_steps": 33, "total_steps": 70, "loss": 0.4292, "lr": 1.2708404681430054e-05, "epoch": 3.142857142857143, "percentage": 47.14, "elapsed_time": "0:21:53", "remaining_time": "0:24:32"}
|
||||
{"current_steps": 34, "total_steps": 70, "loss": 0.4378, "lr": 1.2225209339563144e-05, "epoch": 3.238095238095238, "percentage": 48.57, "elapsed_time": "0:22:30", "remaining_time": "0:23:49"}
|
||||
{"current_steps": 35, "total_steps": 70, "loss": 0.4262, "lr": 1.1736481776669307e-05, "epoch": 3.3333333333333335, "percentage": 50.0, "elapsed_time": "0:23:07", "remaining_time": "0:23:07"}
|
||||
{"current_steps": 36, "total_steps": 70, "loss": 0.4253, "lr": 1.1243437046474854e-05, "epoch": 3.4285714285714284, "percentage": 51.43, "elapsed_time": "0:23:44", "remaining_time": "0:22:25"}
|
||||
{"current_steps": 37, "total_steps": 70, "loss": 0.4342, "lr": 1.0747300935864245e-05, "epoch": 3.5238095238095237, "percentage": 52.86, "elapsed_time": "0:24:22", "remaining_time": "0:21:44"}
|
||||
{"current_steps": 38, "total_steps": 70, "loss": 0.4293, "lr": 1.0249306917380731e-05, "epoch": 3.619047619047619, "percentage": 54.29, "elapsed_time": "0:25:00", "remaining_time": "0:21:03"}
|
||||
{"current_steps": 39, "total_steps": 70, "loss": 0.416, "lr": 9.750693082619274e-06, "epoch": 3.7142857142857144, "percentage": 55.71, "elapsed_time": "0:25:36", "remaining_time": "0:20:21"}
|
||||
{"current_steps": 40, "total_steps": 70, "loss": 0.423, "lr": 9.252699064135759e-06, "epoch": 3.8095238095238093, "percentage": 57.14, "elapsed_time": "0:26:15", "remaining_time": "0:19:41"}
|
||||
{"current_steps": 41, "total_steps": 70, "loss": 0.4052, "lr": 8.756562953525151e-06, "epoch": 3.9047619047619047, "percentage": 58.57, "elapsed_time": "0:26:53", "remaining_time": "0:19:01"}
|
||||
{"current_steps": 42, "total_steps": 70, "loss": 0.6213, "lr": 8.263518223330698e-06, "epoch": 4.0, "percentage": 60.0, "elapsed_time": "0:27:30", "remaining_time": "0:18:20"}
|
||||
{"current_steps": 43, "total_steps": 70, "loss": 0.3984, "lr": 7.774790660436857e-06, "epoch": 4.095238095238095, "percentage": 61.43, "elapsed_time": "0:28:27", "remaining_time": "0:17:52"}
|
||||
{"current_steps": 44, "total_steps": 70, "loss": 0.3867, "lr": 7.291595318569951e-06, "epoch": 4.190476190476191, "percentage": 62.86, "elapsed_time": "0:29:04", "remaining_time": "0:17:10"}
|
||||
{"current_steps": 45, "total_steps": 70, "loss": 0.3847, "lr": 6.815133497483157e-06, "epoch": 4.285714285714286, "percentage": 64.29, "elapsed_time": "0:29:45", "remaining_time": "0:16:31"}
|
||||
{"current_steps": 46, "total_steps": 70, "loss": 0.381, "lr": 6.34658975633605e-06, "epoch": 4.380952380952381, "percentage": 65.71, "elapsed_time": "0:30:24", "remaining_time": "0:15:52"}
|
||||
{"current_steps": 47, "total_steps": 70, "loss": 0.3844, "lr": 5.887128968693887e-06, "epoch": 4.476190476190476, "percentage": 67.14, "elapsed_time": "0:31:02", "remaining_time": "0:15:11"}
|
||||
{"current_steps": 48, "total_steps": 70, "loss": 0.3874, "lr": 5.43789342646837e-06, "epoch": 4.571428571428571, "percentage": 68.57, "elapsed_time": "0:31:36", "remaining_time": "0:14:29"}
|
||||
{"current_steps": 49, "total_steps": 70, "loss": 0.3778, "lr": 5.000000000000003e-06, "epoch": 4.666666666666667, "percentage": 70.0, "elapsed_time": "0:32:13", "remaining_time": "0:13:48"}
|
||||
{"current_steps": 50, "total_steps": 70, "loss": 0.3994, "lr": 4.5745373613424075e-06, "epoch": 4.761904761904762, "percentage": 71.43, "elapsed_time": "0:32:49", "remaining_time": "0:13:07"}
|
||||
{"current_steps": 51, "total_steps": 70, "loss": 0.3827, "lr": 4.162563277652104e-06, "epoch": 4.857142857142857, "percentage": 72.86, "elapsed_time": "0:33:25", "remaining_time": "0:12:26"}
|
||||
{"current_steps": 52, "total_steps": 70, "loss": 0.3892, "lr": 3.7651019814126656e-06, "epoch": 4.9523809523809526, "percentage": 74.29, "elapsed_time": "0:34:03", "remaining_time": "0:11:47"}
|
||||
{"current_steps": 53, "total_steps": 70, "loss": 0.5468, "lr": 3.3831416240314085e-06, "epoch": 5.0476190476190474, "percentage": 75.71, "elapsed_time": "0:34:56", "remaining_time": "0:11:12"}
|
||||
{"current_steps": 54, "total_steps": 70, "loss": 0.3634, "lr": 3.017631819139273e-06, "epoch": 5.142857142857143, "percentage": 77.14, "elapsed_time": "0:35:33", "remaining_time": "0:10:32"}
|
||||
{"current_steps": 55, "total_steps": 70, "loss": 0.3698, "lr": 2.669481281701739e-06, "epoch": 5.238095238095238, "percentage": 78.57, "elapsed_time": "0:36:11", "remaining_time": "0:09:52"}
|
||||
{"current_steps": 56, "total_steps": 70, "loss": 0.3714, "lr": 2.339555568810221e-06, "epoch": 5.333333333333333, "percentage": 80.0, "elapsed_time": "0:36:48", "remaining_time": "0:09:12"}
|
||||
{"current_steps": 57, "total_steps": 70, "loss": 0.3626, "lr": 2.0286749277707783e-06, "epoch": 5.428571428571429, "percentage": 81.43, "elapsed_time": "0:37:26", "remaining_time": "0:08:32"}
|
||||
{"current_steps": 58, "total_steps": 70, "loss": 0.3656, "lr": 1.7376122568400533e-06, "epoch": 5.523809523809524, "percentage": 82.86, "elapsed_time": "0:38:04", "remaining_time": "0:07:52"}
|
||||
{"current_steps": 59, "total_steps": 70, "loss": 0.3574, "lr": 1.467091183678444e-06, "epoch": 5.619047619047619, "percentage": 84.29, "elapsed_time": "0:38:44", "remaining_time": "0:07:13"}
|
||||
{"current_steps": 60, "total_steps": 70, "loss": 0.365, "lr": 1.2177842662977136e-06, "epoch": 5.714285714285714, "percentage": 85.71, "elapsed_time": "0:39:20", "remaining_time": "0:06:33"}
|
||||
{"current_steps": 61, "total_steps": 70, "loss": 0.3644, "lr": 9.903113209758098e-07, "epoch": 5.809523809523809, "percentage": 87.14, "elapsed_time": "0:39:56", "remaining_time": "0:05:53"}
|
||||
{"current_steps": 62, "total_steps": 70, "loss": 0.3682, "lr": 7.852378812959227e-07, "epoch": 5.904761904761905, "percentage": 88.57, "elapsed_time": "0:40:33", "remaining_time": "0:05:13"}
|
||||
{"current_steps": 63, "total_steps": 70, "loss": 0.5551, "lr": 6.030737921409169e-07, "epoch": 6.0, "percentage": 90.0, "elapsed_time": "0:41:10", "remaining_time": "0:04:34"}
|
||||
{"current_steps": 64, "total_steps": 70, "loss": 0.3659, "lr": 4.4427194213859216e-07, "epoch": 6.095238095238095, "percentage": 91.43, "elapsed_time": "0:42:12", "remaining_time": "0:03:57"}
|
||||
{"current_steps": 65, "total_steps": 70, "loss": 0.3638, "lr": 3.0922713770922155e-07, "epoch": 6.190476190476191, "percentage": 92.86, "elapsed_time": "0:42:49", "remaining_time": "0:03:17"}
|
||||
{"current_steps": 66, "total_steps": 70, "loss": 0.3584, "lr": 1.9827512151456175e-07, "epoch": 6.285714285714286, "percentage": 94.29, "elapsed_time": "0:43:27", "remaining_time": "0:02:38"}
|
||||
{"current_steps": 67, "total_steps": 70, "loss": 0.3661, "lr": 1.1169173774871478e-07, "epoch": 6.380952380952381, "percentage": 95.71, "elapsed_time": "0:44:04", "remaining_time": "0:01:58"}
|
||||
{"current_steps": 68, "total_steps": 70, "loss": 0.3676, "lr": 4.9692246345985905e-08, "epoch": 6.476190476190476, "percentage": 97.14, "elapsed_time": "0:44:42", "remaining_time": "0:01:18"}
|
||||
{"current_steps": 69, "total_steps": 70, "loss": 0.3518, "lr": 1.2430787810776556e-08, "epoch": 6.571428571428571, "percentage": 98.57, "elapsed_time": "0:45:21", "remaining_time": "0:00:39"}
|
||||
{"current_steps": 70, "total_steps": 70, "loss": 0.3555, "lr": 0.0, "epoch": 6.666666666666667, "percentage": 100.0, "elapsed_time": "0:45:59", "remaining_time": "0:00:00"}
|
||||
{"current_steps": 70, "total_steps": 70, "epoch": 6.666666666666667, "percentage": 100.0, "elapsed_time": "0:47:03", "remaining_time": "0:00:00"}
|
||||
532
trainer_state.json
Normal file
532
trainer_state.json
Normal file
@@ -0,0 +1,532 @@
|
||||
{
|
||||
"best_metric": null,
|
||||
"best_model_checkpoint": null,
|
||||
"epoch": 6.666666666666667,
|
||||
"eval_steps": 500,
|
||||
"global_step": 70,
|
||||
"is_hyper_param_search": false,
|
||||
"is_local_process_zero": true,
|
||||
"is_world_process_zero": true,
|
||||
"log_history": [
|
||||
{
|
||||
"epoch": 0.09523809523809523,
|
||||
"grad_norm": 6.605348131730995,
|
||||
"learning_rate": 2.8571428571428573e-06,
|
||||
"loss": 0.8419,
|
||||
"step": 1
|
||||
},
|
||||
{
|
||||
"epoch": 0.19047619047619047,
|
||||
"grad_norm": 6.421236878123063,
|
||||
"learning_rate": 5.7142857142857145e-06,
|
||||
"loss": 0.8347,
|
||||
"step": 2
|
||||
},
|
||||
{
|
||||
"epoch": 0.2857142857142857,
|
||||
"grad_norm": 5.6301912031095,
|
||||
"learning_rate": 8.571428571428571e-06,
|
||||
"loss": 0.7892,
|
||||
"step": 3
|
||||
},
|
||||
{
|
||||
"epoch": 0.38095238095238093,
|
||||
"grad_norm": 2.3481103388632967,
|
||||
"learning_rate": 1.1428571428571429e-05,
|
||||
"loss": 0.7191,
|
||||
"step": 4
|
||||
},
|
||||
{
|
||||
"epoch": 0.47619047619047616,
|
||||
"grad_norm": 3.77462144106806,
|
||||
"learning_rate": 1.4285714285714287e-05,
|
||||
"loss": 0.7275,
|
||||
"step": 5
|
||||
},
|
||||
{
|
||||
"epoch": 0.5714285714285714,
|
||||
"grad_norm": 4.145002917098403,
|
||||
"learning_rate": 1.7142857142857142e-05,
|
||||
"loss": 0.7245,
|
||||
"step": 6
|
||||
},
|
||||
{
|
||||
"epoch": 0.6666666666666666,
|
||||
"grad_norm": 4.160357161281431,
|
||||
"learning_rate": 2e-05,
|
||||
"loss": 0.6869,
|
||||
"step": 7
|
||||
},
|
||||
{
|
||||
"epoch": 0.7619047619047619,
|
||||
"grad_norm": 2.530895080447052,
|
||||
"learning_rate": 1.9987569212189224e-05,
|
||||
"loss": 0.6701,
|
||||
"step": 8
|
||||
},
|
||||
{
|
||||
"epoch": 0.8571428571428571,
|
||||
"grad_norm": 2.2651868042761207,
|
||||
"learning_rate": 1.9950307753654016e-05,
|
||||
"loss": 0.6473,
|
||||
"step": 9
|
||||
},
|
||||
{
|
||||
"epoch": 0.9523809523809523,
|
||||
"grad_norm": 2.017603532790786,
|
||||
"learning_rate": 1.9888308262251286e-05,
|
||||
"loss": 0.6124,
|
||||
"step": 10
|
||||
},
|
||||
{
|
||||
"epoch": 1.0476190476190477,
|
||||
"grad_norm": 2.142230908069242,
|
||||
"learning_rate": 1.9801724878485438e-05,
|
||||
"loss": 0.9323,
|
||||
"step": 11
|
||||
},
|
||||
{
|
||||
"epoch": 1.1428571428571428,
|
||||
"grad_norm": 1.192411410964399,
|
||||
"learning_rate": 1.969077286229078e-05,
|
||||
"loss": 0.5877,
|
||||
"step": 12
|
||||
},
|
||||
{
|
||||
"epoch": 1.2380952380952381,
|
||||
"grad_norm": 1.1055427383462693,
|
||||
"learning_rate": 1.955572805786141e-05,
|
||||
"loss": 0.5601,
|
||||
"step": 13
|
||||
},
|
||||
{
|
||||
"epoch": 1.3333333333333333,
|
||||
"grad_norm": 1.0654694223469574,
|
||||
"learning_rate": 1.9396926207859085e-05,
|
||||
"loss": 0.5828,
|
||||
"step": 14
|
||||
},
|
||||
{
|
||||
"epoch": 1.4285714285714286,
|
||||
"grad_norm": 0.9654479013607004,
|
||||
"learning_rate": 1.921476211870408e-05,
|
||||
"loss": 0.5557,
|
||||
"step": 15
|
||||
},
|
||||
{
|
||||
"epoch": 1.5238095238095237,
|
||||
"grad_norm": 0.8914056609525524,
|
||||
"learning_rate": 1.900968867902419e-05,
|
||||
"loss": 0.5344,
|
||||
"step": 16
|
||||
},
|
||||
{
|
||||
"epoch": 1.619047619047619,
|
||||
"grad_norm": 0.9774447718066034,
|
||||
"learning_rate": 1.8782215733702286e-05,
|
||||
"loss": 0.5558,
|
||||
"step": 17
|
||||
},
|
||||
{
|
||||
"epoch": 1.7142857142857144,
|
||||
"grad_norm": 0.7790629886541486,
|
||||
"learning_rate": 1.8532908816321557e-05,
|
||||
"loss": 0.5179,
|
||||
"step": 18
|
||||
},
|
||||
{
|
||||
"epoch": 1.8095238095238095,
|
||||
"grad_norm": 0.8202964518997443,
|
||||
"learning_rate": 1.826238774315995e-05,
|
||||
"loss": 0.529,
|
||||
"step": 19
|
||||
},
|
||||
{
|
||||
"epoch": 1.9047619047619047,
|
||||
"grad_norm": 0.8155377516615383,
|
||||
"learning_rate": 1.7971325072229227e-05,
|
||||
"loss": 0.528,
|
||||
"step": 20
|
||||
},
|
||||
{
|
||||
"epoch": 2.0,
|
||||
"grad_norm": 1.0671953476376677,
|
||||
"learning_rate": 1.766044443118978e-05,
|
||||
"loss": 0.7894,
|
||||
"step": 21
|
||||
},
|
||||
{
|
||||
"epoch": 2.0952380952380953,
|
||||
"grad_norm": 0.5021207833915019,
|
||||
"learning_rate": 1.7330518718298263e-05,
|
||||
"loss": 0.4923,
|
||||
"step": 22
|
||||
},
|
||||
{
|
||||
"epoch": 2.1904761904761907,
|
||||
"grad_norm": 0.6991883919562059,
|
||||
"learning_rate": 1.698236818086073e-05,
|
||||
"loss": 0.4884,
|
||||
"step": 23
|
||||
},
|
||||
{
|
||||
"epoch": 2.2857142857142856,
|
||||
"grad_norm": 0.5720037808635232,
|
||||
"learning_rate": 1.6616858375968596e-05,
|
||||
"loss": 0.4665,
|
||||
"step": 24
|
||||
},
|
||||
{
|
||||
"epoch": 2.380952380952381,
|
||||
"grad_norm": 0.5458417578805382,
|
||||
"learning_rate": 1.6234898018587336e-05,
|
||||
"loss": 0.4782,
|
||||
"step": 25
|
||||
},
|
||||
{
|
||||
"epoch": 2.4761904761904763,
|
||||
"grad_norm": 0.7366558111251066,
|
||||
"learning_rate": 1.5837436722347902e-05,
|
||||
"loss": 0.4858,
|
||||
"step": 26
|
||||
},
|
||||
{
|
||||
"epoch": 2.571428571428571,
|
||||
"grad_norm": 0.5385737455534967,
|
||||
"learning_rate": 1.5425462638657597e-05,
|
||||
"loss": 0.4796,
|
||||
"step": 27
|
||||
},
|
||||
{
|
||||
"epoch": 2.6666666666666665,
|
||||
"grad_norm": 0.47977596305770687,
|
||||
"learning_rate": 1.5000000000000002e-05,
|
||||
"loss": 0.4516,
|
||||
"step": 28
|
||||
},
|
||||
{
|
||||
"epoch": 2.761904761904762,
|
||||
"grad_norm": 0.5155484599482115,
|
||||
"learning_rate": 1.4562106573531632e-05,
|
||||
"loss": 0.4749,
|
||||
"step": 29
|
||||
},
|
||||
{
|
||||
"epoch": 2.857142857142857,
|
||||
"grad_norm": 0.44464289664292356,
|
||||
"learning_rate": 1.4112871031306118e-05,
|
||||
"loss": 0.467,
|
||||
"step": 30
|
||||
},
|
||||
{
|
||||
"epoch": 2.9523809523809526,
|
||||
"grad_norm": 0.5523193408133361,
|
||||
"learning_rate": 1.3653410243663953e-05,
|
||||
"loss": 0.4706,
|
||||
"step": 31
|
||||
},
|
||||
{
|
||||
"epoch": 3.0476190476190474,
|
||||
"grad_norm": 0.5264144060681053,
|
||||
"learning_rate": 1.3184866502516846e-05,
|
||||
"loss": 0.6569,
|
||||
"step": 32
|
||||
},
|
||||
{
|
||||
"epoch": 3.142857142857143,
|
||||
"grad_norm": 0.41126779074862735,
|
||||
"learning_rate": 1.2708404681430054e-05,
|
||||
"loss": 0.4292,
|
||||
"step": 33
|
||||
},
|
||||
{
|
||||
"epoch": 3.238095238095238,
|
||||
"grad_norm": 0.4490298708496658,
|
||||
"learning_rate": 1.2225209339563144e-05,
|
||||
"loss": 0.4378,
|
||||
"step": 34
|
||||
},
|
||||
{
|
||||
"epoch": 3.3333333333333335,
|
||||
"grad_norm": 0.3886114013945829,
|
||||
"learning_rate": 1.1736481776669307e-05,
|
||||
"loss": 0.4262,
|
||||
"step": 35
|
||||
},
|
||||
{
|
||||
"epoch": 3.4285714285714284,
|
||||
"grad_norm": 0.38569867397130814,
|
||||
"learning_rate": 1.1243437046474854e-05,
|
||||
"loss": 0.4253,
|
||||
"step": 36
|
||||
},
|
||||
{
|
||||
"epoch": 3.5238095238095237,
|
||||
"grad_norm": 0.32667953259390436,
|
||||
"learning_rate": 1.0747300935864245e-05,
|
||||
"loss": 0.4342,
|
||||
"step": 37
|
||||
},
|
||||
{
|
||||
"epoch": 3.619047619047619,
|
||||
"grad_norm": 0.34387926938768176,
|
||||
"learning_rate": 1.0249306917380731e-05,
|
||||
"loss": 0.4293,
|
||||
"step": 38
|
||||
},
|
||||
{
|
||||
"epoch": 3.7142857142857144,
|
||||
"grad_norm": 0.37550697839247893,
|
||||
"learning_rate": 9.750693082619274e-06,
|
||||
"loss": 0.416,
|
||||
"step": 39
|
||||
},
|
||||
{
|
||||
"epoch": 3.8095238095238093,
|
||||
"grad_norm": 0.3339790028645127,
|
||||
"learning_rate": 9.252699064135759e-06,
|
||||
"loss": 0.423,
|
||||
"step": 40
|
||||
},
|
||||
{
|
||||
"epoch": 3.9047619047619047,
|
||||
"grad_norm": 0.30613589011704845,
|
||||
"learning_rate": 8.756562953525151e-06,
|
||||
"loss": 0.4052,
|
||||
"step": 41
|
||||
},
|
||||
{
|
||||
"epoch": 4.0,
|
||||
"grad_norm": 0.5533136576839677,
|
||||
"learning_rate": 8.263518223330698e-06,
|
||||
"loss": 0.6213,
|
||||
"step": 42
|
||||
},
|
||||
{
|
||||
"epoch": 4.095238095238095,
|
||||
"grad_norm": 0.31266304108004894,
|
||||
"learning_rate": 7.774790660436857e-06,
|
||||
"loss": 0.3984,
|
||||
"step": 43
|
||||
},
|
||||
{
|
||||
"epoch": 4.190476190476191,
|
||||
"grad_norm": 0.333588488447849,
|
||||
"learning_rate": 7.291595318569951e-06,
|
||||
"loss": 0.3867,
|
||||
"step": 44
|
||||
},
|
||||
{
|
||||
"epoch": 4.285714285714286,
|
||||
"grad_norm": 0.3460065169199803,
|
||||
"learning_rate": 6.815133497483157e-06,
|
||||
"loss": 0.3847,
|
||||
"step": 45
|
||||
},
|
||||
{
|
||||
"epoch": 4.380952380952381,
|
||||
"grad_norm": 0.30272468877509284,
|
||||
"learning_rate": 6.34658975633605e-06,
|
||||
"loss": 0.381,
|
||||
"step": 46
|
||||
},
|
||||
{
|
||||
"epoch": 4.476190476190476,
|
||||
"grad_norm": 0.3046448293769283,
|
||||
"learning_rate": 5.887128968693887e-06,
|
||||
"loss": 0.3844,
|
||||
"step": 47
|
||||
},
|
||||
{
|
||||
"epoch": 4.571428571428571,
|
||||
"grad_norm": 0.280969582851044,
|
||||
"learning_rate": 5.43789342646837e-06,
|
||||
"loss": 0.3874,
|
||||
"step": 48
|
||||
},
|
||||
{
|
||||
"epoch": 4.666666666666667,
|
||||
"grad_norm": 0.2984012316645626,
|
||||
"learning_rate": 5.000000000000003e-06,
|
||||
"loss": 0.3778,
|
||||
"step": 49
|
||||
},
|
||||
{
|
||||
"epoch": 4.761904761904762,
|
||||
"grad_norm": 0.30139527047552517,
|
||||
"learning_rate": 4.5745373613424075e-06,
|
||||
"loss": 0.3994,
|
||||
"step": 50
|
||||
},
|
||||
{
|
||||
"epoch": 4.857142857142857,
|
||||
"grad_norm": 0.24709339303111982,
|
||||
"learning_rate": 4.162563277652104e-06,
|
||||
"loss": 0.3827,
|
||||
"step": 51
|
||||
},
|
||||
{
|
||||
"epoch": 4.9523809523809526,
|
||||
"grad_norm": 0.25286199068075177,
|
||||
"learning_rate": 3.7651019814126656e-06,
|
||||
"loss": 0.3892,
|
||||
"step": 52
|
||||
},
|
||||
{
|
||||
"epoch": 5.0476190476190474,
|
||||
"grad_norm": 0.3897706495957114,
|
||||
"learning_rate": 3.3831416240314085e-06,
|
||||
"loss": 0.5468,
|
||||
"step": 53
|
||||
},
|
||||
{
|
||||
"epoch": 5.142857142857143,
|
||||
"grad_norm": 0.2720027061358551,
|
||||
"learning_rate": 3.017631819139273e-06,
|
||||
"loss": 0.3634,
|
||||
"step": 54
|
||||
},
|
||||
{
|
||||
"epoch": 5.238095238095238,
|
||||
"grad_norm": 0.23340708465551444,
|
||||
"learning_rate": 2.669481281701739e-06,
|
||||
"loss": 0.3698,
|
||||
"step": 55
|
||||
},
|
||||
{
|
||||
"epoch": 5.333333333333333,
|
||||
"grad_norm": 0.24284971158342084,
|
||||
"learning_rate": 2.339555568810221e-06,
|
||||
"loss": 0.3714,
|
||||
"step": 56
|
||||
},
|
||||
{
|
||||
"epoch": 5.428571428571429,
|
||||
"grad_norm": 0.24573930825254336,
|
||||
"learning_rate": 2.0286749277707783e-06,
|
||||
"loss": 0.3626,
|
||||
"step": 57
|
||||
},
|
||||
{
|
||||
"epoch": 5.523809523809524,
|
||||
"grad_norm": 0.24228391477999003,
|
||||
"learning_rate": 1.7376122568400533e-06,
|
||||
"loss": 0.3656,
|
||||
"step": 58
|
||||
},
|
||||
{
|
||||
"epoch": 5.619047619047619,
|
||||
"grad_norm": 0.2424674393246646,
|
||||
"learning_rate": 1.467091183678444e-06,
|
||||
"loss": 0.3574,
|
||||
"step": 59
|
||||
},
|
||||
{
|
||||
"epoch": 5.714285714285714,
|
||||
"grad_norm": 0.2260500547448982,
|
||||
"learning_rate": 1.2177842662977136e-06,
|
||||
"loss": 0.365,
|
||||
"step": 60
|
||||
},
|
||||
{
|
||||
"epoch": 5.809523809523809,
|
||||
"grad_norm": 0.23262274251274268,
|
||||
"learning_rate": 9.903113209758098e-07,
|
||||
"loss": 0.3644,
|
||||
"step": 61
|
||||
},
|
||||
{
|
||||
"epoch": 5.904761904761905,
|
||||
"grad_norm": 0.24328065113087025,
|
||||
"learning_rate": 7.852378812959227e-07,
|
||||
"loss": 0.3682,
|
||||
"step": 62
|
||||
},
|
||||
{
|
||||
"epoch": 6.0,
|
||||
"grad_norm": 0.3542176555963666,
|
||||
"learning_rate": 6.030737921409169e-07,
|
||||
"loss": 0.5551,
|
||||
"step": 63
|
||||
},
|
||||
{
|
||||
"epoch": 6.095238095238095,
|
||||
"grad_norm": 0.20725527246794545,
|
||||
"learning_rate": 4.4427194213859216e-07,
|
||||
"loss": 0.3659,
|
||||
"step": 64
|
||||
},
|
||||
{
|
||||
"epoch": 6.190476190476191,
|
||||
"grad_norm": 0.20871665612226104,
|
||||
"learning_rate": 3.0922713770922155e-07,
|
||||
"loss": 0.3638,
|
||||
"step": 65
|
||||
},
|
||||
{
|
||||
"epoch": 6.285714285714286,
|
||||
"grad_norm": 0.20911819934603798,
|
||||
"learning_rate": 1.9827512151456175e-07,
|
||||
"loss": 0.3584,
|
||||
"step": 66
|
||||
},
|
||||
{
|
||||
"epoch": 6.380952380952381,
|
||||
"grad_norm": 0.2119088624352818,
|
||||
"learning_rate": 1.1169173774871478e-07,
|
||||
"loss": 0.3661,
|
||||
"step": 67
|
||||
},
|
||||
{
|
||||
"epoch": 6.476190476190476,
|
||||
"grad_norm": 0.20643899236666943,
|
||||
"learning_rate": 4.9692246345985905e-08,
|
||||
"loss": 0.3676,
|
||||
"step": 68
|
||||
},
|
||||
{
|
||||
"epoch": 6.571428571428571,
|
||||
"grad_norm": 0.20106120319449272,
|
||||
"learning_rate": 1.2430787810776556e-08,
|
||||
"loss": 0.3518,
|
||||
"step": 69
|
||||
},
|
||||
{
|
||||
"epoch": 6.666666666666667,
|
||||
"grad_norm": 0.20675993672406334,
|
||||
"learning_rate": 0.0,
|
||||
"loss": 0.3555,
|
||||
"step": 70
|
||||
},
|
||||
{
|
||||
"epoch": 6.666666666666667,
|
||||
"step": 70,
|
||||
"total_flos": 2.3990446016220365e+17,
|
||||
"train_loss": 0.4939488410949707,
|
||||
"train_runtime": 2825.0166,
|
||||
"train_samples_per_second": 2.478,
|
||||
"train_steps_per_second": 0.025
|
||||
}
|
||||
],
|
||||
"logging_steps": 1,
|
||||
"max_steps": 70,
|
||||
"num_input_tokens_seen": 0,
|
||||
"num_train_epochs": 7,
|
||||
"save_steps": 500,
|
||||
"stateful_callbacks": {
|
||||
"TrainerControl": {
|
||||
"args": {
|
||||
"should_epoch_stop": false,
|
||||
"should_evaluate": false,
|
||||
"should_log": false,
|
||||
"should_save": true,
|
||||
"should_training_stop": true
|
||||
},
|
||||
"attributes": {}
|
||||
}
|
||||
},
|
||||
"total_flos": 2.3990446016220365e+17,
|
||||
"train_batch_size": 1,
|
||||
"trial_name": null,
|
||||
"trial_params": null
|
||||
}
|
||||
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9b3aaa72adb5ca152091c7f0b9747f06847a390382e97fcbf05aff9ec813b1f8
|
||||
size 7352
|
||||
BIN
training_loss.png
Normal file
BIN
training_loss.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 46 KiB |
BIN
vocab.json
(Stored with Git LFS)
Normal file
BIN
vocab.json
(Stored with Git LFS)
Normal file
Binary file not shown.
Reference in New Issue
Block a user