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Model: W-61/llama3-8b-base-new-method-s_star0.6-20260425-180936 Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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base_model: W-61/llama-3-8b-base-sft-ultrachat-8xh200
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tags:
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- alignment-handbook
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- new-dpo
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- generated_from_trainer
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datasets:
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- HuggingFaceH4/ultrafeedback_binarized
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model-index:
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- name: llama3-8b-base-new-method-s_star0.6-20260425-180936
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# llama3-8b-base-new-method-s_star0.6-20260425-180936
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This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-ultrachat-8xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-ultrachat-8xh200) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5352
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- Fcm Dpo/beta: 0.0110
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- Margin Dpo/margin Mean: 54.2375
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- Margin Dpo/margin Std: 83.0790
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- Logps/chosen: -383.9891
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- Logps/rejected: -417.3312
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- Logps/ref Chosen: -287.8268
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- Logps/ref Rejected: -266.9314
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- Logits/chosen: -0.8407
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- Logits/rejected: -0.8346
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-07
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 128
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- total_eval_batch_size: 16
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Fcm Dpo/beta | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected |
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|:-------------:|:------:|:----:|:---------------:|:------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
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| 4.6087 | 0.4188 | 200 | 0.5497 | 0.0189 | 29.5673 | 48.3802 | -320.8928 | -329.5647 | -287.8268 | -266.9314 | -0.8679 | -0.8610 |
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| 4.3167 | 0.8377 | 400 | 0.5352 | 0.0110 | 54.2375 | 83.0790 | -383.9891 | -417.3312 | -287.8268 | -266.9314 | -0.8407 | -0.8346 |
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### Framework versions
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- Transformers 4.51.0
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- Pytorch 2.3.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.21.4
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all_results.json
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{
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"epoch": 0.9989528795811519,
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"eval_fcm_dpo/beta": 0.009593765251338482,
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"eval_logits/chosen": -0.8410288691520691,
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"eval_logits/rejected": -0.8335962891578674,
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"eval_logps/chosen": -391.4317626953125,
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"eval_logps/ref_chosen": -287.8267517089844,
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"eval_logps/ref_rejected": -266.9313659667969,
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"eval_logps/rejected": -426.3018493652344,
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"eval_loss": 0.5413669347763062,
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"eval_margin_dpo/margin_mean": 55.76554870605469,
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"eval_margin_dpo/margin_std": 85.69520568847656,
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"eval_runtime": 81.3525,
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"eval_samples": 2000,
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"eval_samples_per_second": 24.584,
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"eval_steps_per_second": 1.537,
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"total_flos": 0.0,
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"train_loss": 4.542374380479568,
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"train_runtime": 6039.2377,
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"train_samples": 61135,
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"train_samples_per_second": 10.123,
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"train_steps_per_second": 0.079
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}
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config.json
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"use_cache": true,
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"vocab_size": 128256
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}
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eval_results.json
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"eval_logits/chosen": -0.8410288691520691,
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"eval_logits/rejected": -0.8335962891578674,
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"eval_logps/chosen": -391.4317626953125,
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"eval_logps/ref_chosen": -287.8267517089844,
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"eval_logps/ref_rejected": -266.9313659667969,
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"eval_logps/rejected": -426.3018493652344,
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"eval_loss": 0.5413669347763062,
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"eval_margin_dpo/margin_mean": 55.76554870605469,
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"eval_margin_dpo/margin_std": 85.69520568847656,
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"eval_runtime": 81.3525,
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"eval_samples": 2000,
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"eval_samples_per_second": 24.584,
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"eval_steps_per_second": 1.537
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}
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.51.0"
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||||
}
|
||||
}
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||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3c5cf44023714fb39b05e71e425f8d7b92805ff73f7988b083b8c87f0bf87393
|
||||
size 17209961
|
||||
2064
tokenizer_config.json
Normal file
2064
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
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": 4.542374380479568,
|
||||
"train_runtime": 6039.2377,
|
||||
"train_samples": 61135,
|
||||
"train_samples_per_second": 10.123,
|
||||
"train_steps_per_second": 0.079
|
||||
}
|
||||
9140
trainer_state.json
Normal file
9140
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user