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Model: W-61/mistral-7b-base-epsilon-dpo-hh-helpful-4xh200-batch-64 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: mistral-7b-base-sft-hh-helpful-4xh200-batch-64-20260418-015332
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tags:
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- alignment-handbook
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- epsilon-dpo
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- generated_from_trainer
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datasets:
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- Anthropic/hh-rlhf
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model-index:
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- name: mistral-7b-base-epsilon-dpo-hh-helpful-4xh200-batch-64-20260418-015332
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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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# mistral-7b-base-epsilon-dpo-hh-helpful-4xh200-batch-64-20260418-015332
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This model is a fine-tuned version of [mistral-7b-base-sft-hh-helpful-4xh200-batch-64-20260418-015332](https://huggingface.co/mistral-7b-base-sft-hh-helpful-4xh200-batch-64-20260418-015332) on the Anthropic/hh-rlhf dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5823
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- Epsilon Dpo/beta: 0.0009
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- Epsilon Dpo/loss Margin Mean: 478.8302
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- Epsilon Dpo/beta Margin Mean: 0.4461
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- Epsilon Dpo/beta Margin Std: 0.8791
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- Epsilon Dpo/beta Margin Grad Mean: -0.4072
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- Epsilon Dpo/beta Margin Grad Std: 0.1767
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- Rewards/chosen: -0.6675
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- Rewards/rejected: -1.1135
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- Rewards/accuracies: 0.7038
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- Rewards/margins: 0.4461
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- Logps/chosen: -771.9094
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- Logps/rejected: -1274.5287
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- Logps/ref Chosen: -68.2911
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- Logps/ref Rejected: -92.0804
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- Logits/chosen: -3.8786
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- Logits/rejected: -4.7234
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- Kl/p Epsilon Steps: 0.6819
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- Kl/n Epsilon Steps: 0.3176
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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: 8
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- eval_batch_size: 8
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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: 2
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- total_train_batch_size: 64
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- total_eval_batch_size: 32
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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 | Epsilon Dpo/beta | Epsilon Dpo/loss Margin Mean | Epsilon Dpo/beta Margin Mean | Epsilon Dpo/beta Margin Std | Epsilon Dpo/beta Margin Grad Mean | Epsilon Dpo/beta Margin Grad Std | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected | Kl/p Epsilon Steps | Kl/n Epsilon Steps |
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|:-------------:|:------:|:----:|:---------------:|:----------------:|:----------------------------:|:----------------------------:|:---------------------------:|:---------------------------------:|:--------------------------------:|:--------------:|:----------------:|:------------------:|:---------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|:------------------:|:------------------:|
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| 0.6663 | 0.1468 | 100 | 0.4936 | 0.0513 | 29.5905 | 1.5046 | 2.1537 | -0.3036 | 0.2585 | -1.4541 | -2.9587 | 0.7556 | 1.5046 | -96.5378 | -149.9176 | -68.2911 | -92.0804 | -3.2766 | -3.2684 | 0.7226 | 0.2765 |
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| 0.559 | 0.2937 | 200 | 0.4014 | 0.0224 | 78.6564 | 1.7522 | 1.9999 | -0.2627 | 0.2420 | -2.4182 | -4.1704 | 0.7984 | 1.7522 | -175.9333 | -278.3791 | -68.2911 | -92.0804 | -2.2068 | -2.1055 | 0.7821 | 0.2175 |
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| 0.4996 | 0.4405 | 300 | 0.4131 | 0.0097 | 122.2527 | 1.1844 | 1.3051 | -0.2961 | 0.2077 | -1.5383 | -2.7227 | 0.7928 | 1.1844 | -225.6753 | -371.7173 | -68.2911 | -92.0804 | -1.9427 | -1.7790 | 0.7783 | 0.2217 |
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| 0.5665 | 0.5874 | 400 | 0.4863 | 0.0042 | 180.0219 | 0.7587 | 0.9839 | -0.3501 | 0.1877 | -1.0773 | -1.8360 | 0.7564 | 0.7587 | -320.8791 | -524.6903 | -68.2911 | -92.0804 | -2.2465 | -2.1282 | 0.7419 | 0.2581 |
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| 0.8394 | 0.7342 | 500 | 0.5502 | 0.0019 | 226.7985 | 0.4281 | 0.6344 | -0.4041 | 0.1391 | -0.6045 | -1.0326 | 0.7453 | 0.4281 | -384.0945 | -634.6824 | -68.2911 | -92.0804 | -2.9733 | -3.1795 | 0.7290 | 0.2701 |
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| 0.8895 | 0.8811 | 600 | 0.5823 | 0.0009 | 478.8302 | 0.4461 | 0.8791 | -0.4072 | 0.1767 | -0.6675 | -1.1135 | 0.7038 | 0.4461 | -771.9094 | -1274.5287 | -68.2911 | -92.0804 | -3.8786 | -4.7234 | 0.6819 | 0.3176 |
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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": 1.0,
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"eval_epsilon_dpo/beta": 0.0005516819655895233,
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"eval_epsilon_dpo/beta_margin_grad_mean": -0.43731194734573364,
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"eval_epsilon_dpo/beta_margin_grad_std": 0.13020560145378113,
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"eval_epsilon_dpo/beta_margin_mean": 0.27542224526405334,
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"eval_epsilon_dpo/beta_margin_std": 0.5839142203330994,
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"eval_epsilon_dpo/loss_margin_mean": 506.5054016113281,
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"eval_kl/n_epsilon_steps": 0.3274828791618347,
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"eval_kl/p_epsilon_steps": 0.6725171208381653,
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"eval_logits/chosen": -4.05236291885376,
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"eval_logits/rejected": -4.968125343322754,
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"eval_logps/chosen": -881.2797241210938,
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"eval_logps/ref_chosen": -68.29110717773438,
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"eval_logps/ref_rejected": -92.08038330078125,
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"eval_logps/rejected": -1411.574462890625,
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"eval_loss": 0.6066829562187195,
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"eval_rewards/accuracies": 0.6922088861465454,
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"eval_rewards/chosen": -0.4506734609603882,
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"eval_rewards/margins": 0.27542227506637573,
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"eval_rewards/rejected": -0.7260956764221191,
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"eval_runtime": 38.4171,
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"eval_samples": 2339,
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"eval_samples_per_second": 60.884,
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"eval_steps_per_second": 1.926,
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"total_flos": 0.0,
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"train_loss": 0.6833117403385398,
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"train_runtime": 3053.5655,
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"train_samples": 43598,
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"train_samples_per_second": 14.278,
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"train_steps_per_second": 0.223
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}
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config.json
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{
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"architectures": [
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"MistralForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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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": 32768,
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"model_type": "mistral",
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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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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.51.0",
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"use_cache": true,
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"vocab_size": 32768
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}
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"eval_epsilon_dpo/beta_margin_std": 0.5839142203330994,
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"eval_epsilon_dpo/loss_margin_mean": 506.5054016113281,
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"eval_kl/n_epsilon_steps": 0.3274828791618347,
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"eval_kl/p_epsilon_steps": 0.6725171208381653,
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"eval_rewards/accuracies": 0.6922088861465454,
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"eval_rewards/chosen": -0.4506734609603882,
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"eval_samples_per_second": 60.884,
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"eval_steps_per_second": 1.926
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}
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||||
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|
||||
}
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||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
}
|
||||
}
|
||||
275733
tokenizer.json
Normal file
275733
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
||||
size 587404
|
||||
6188
tokenizer_config.json
Normal file
6188
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": 1.0,
|
||||
"total_flos": 0.0,
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
}
|
||||
18586
trainer_state.json
Normal file
18586
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user