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797ee78
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End of training

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Files changed (4) hide show
  1. README.md +19 -13
  2. all_results.json +15 -15
  3. config.json +1 -1
  4. eval_results.json +16 -16
README.md CHANGED
@@ -2,10 +2,16 @@
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  license: apache-2.0
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  base_model: mistralai/Mistral-7B-v0.1
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  tags:
 
 
 
 
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  - trl
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  - orpo
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  - alignment-handbook
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  - generated_from_trainer
 
 
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  model-index:
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  - name: zephyr-7b-sft-full-orpo
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  results: []
@@ -17,20 +23,20 @@ should probably proofread and complete it, then remove this comment. -->
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/statking/huggingface/runs/90a8kp39)
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  # zephyr-7b-sft-full-orpo
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- This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4714
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- - Rewards/chosen: -0.0357
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- - Rewards/rejected: -0.0466
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- - Rewards/accuracies: 0.6528
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- - Rewards/margins: 0.0109
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- - Logps/rejected: -0.9324
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- - Logps/chosen: -0.7143
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- - Logits/rejected: -2.9543
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- - Logits/chosen: -2.9692
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- - Nll Loss: 0.4361
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- - Log Odds Ratio: -0.6245
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- - Log Odds Chosen: 0.3669
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  ## Model description
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  license: apache-2.0
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  base_model: mistralai/Mistral-7B-v0.1
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  tags:
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+ - alignment-handbook
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+ - trl
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+ - orpo
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+ - generated_from_trainer
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  - trl
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  - orpo
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  - alignment-handbook
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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: zephyr-7b-sft-full-orpo
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  results: []
 
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/statking/huggingface/runs/90a8kp39)
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  # zephyr-7b-sft-full-orpo
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4701
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+ - Rewards/chosen: -0.0364
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+ - Rewards/rejected: -0.0499
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+ - Rewards/accuracies: 0.6587
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+ - Rewards/margins: 0.0135
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+ - Logps/rejected: -0.9978
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+ - Logps/chosen: -0.7282
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+ - Logits/rejected: -2.9263
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+ - Logits/chosen: -2.9434
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+ - Nll Loss: 0.4357
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+ - Log Odds Ratio: -0.6093
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+ - Log Odds Chosen: 0.4456
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  ## Model description
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all_results.json CHANGED
@@ -1,21 +1,21 @@
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  {
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  "epoch": 0.9994756161510225,
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- "eval_log_odds_chosen": 1.220078706741333,
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- "eval_log_odds_ratio": -1.047989010810852,
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- "eval_logits/chosen": -2.849764585494995,
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- "eval_logits/rejected": -2.8669533729553223,
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- "eval_logps/chosen": -2.7812891006469727,
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- "eval_logps/rejected": -3.8601787090301514,
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- "eval_loss": 1.3770909309387207,
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- "eval_nll_loss": 1.3531930446624756,
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- "eval_rewards/accuracies": 0.6527777910232544,
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- "eval_rewards/chosen": -0.13906444609165192,
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- "eval_rewards/margins": 0.05394447594881058,
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- "eval_rewards/rejected": -0.1930089294910431,
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- "eval_runtime": 135.9849,
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  "eval_samples": 1994,
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- "eval_samples_per_second": 14.663,
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- "eval_steps_per_second": 0.463,
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  "total_flos": 0.0,
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  "train_loss": 0.5301580581685054,
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  "train_runtime": 20737.8205,
 
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  {
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  "epoch": 0.9994756161510225,
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+ "eval_log_odds_chosen": 0.4455896019935608,
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+ "eval_log_odds_ratio": -0.6093403697013855,
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+ "eval_logits/chosen": -2.943448543548584,
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+ "eval_logits/rejected": -2.9263010025024414,
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+ "eval_logps/chosen": -0.7282419204711914,
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+ "eval_logps/rejected": -0.9978163242340088,
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+ "eval_loss": 0.4700748324394226,
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+ "eval_nll_loss": 0.4356931149959564,
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+ "eval_rewards/accuracies": 0.658730149269104,
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+ "eval_rewards/chosen": -0.03641209378838539,
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+ "eval_rewards/margins": 0.013478721491992474,
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+ "eval_rewards/rejected": -0.04989081248641014,
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+ "eval_runtime": 137.5022,
16
  "eval_samples": 1994,
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+ "eval_samples_per_second": 14.502,
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+ "eval_steps_per_second": 0.458,
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  "total_flos": 0.0,
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  "train_loss": 0.5301580581685054,
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  "train_runtime": 20737.8205,
config.json CHANGED
@@ -21,6 +21,6 @@
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  "tie_word_embeddings": false,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.41.0.dev0",
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- "use_cache": false,
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  "vocab_size": 32000
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  }
 
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  "tie_word_embeddings": false,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.41.0.dev0",
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+ "use_cache": true,
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  "vocab_size": 32000
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  }
eval_results.json CHANGED
@@ -1,19 +1,19 @@
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  {
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- "epoch": 2.9984268484530676,
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- "eval_log_odds_chosen": 1.220078706741333,
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- "eval_log_odds_ratio": -1.047989010810852,
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- "eval_logits/chosen": -2.849764585494995,
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- "eval_logits/rejected": -2.8669533729553223,
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- "eval_logps/chosen": -2.7812891006469727,
8
- "eval_logps/rejected": -3.8601787090301514,
9
- "eval_loss": 1.3770909309387207,
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- "eval_nll_loss": 1.3531930446624756,
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- "eval_rewards/accuracies": 0.6527777910232544,
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- "eval_rewards/chosen": -0.13906444609165192,
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- "eval_rewards/margins": 0.05394447594881058,
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- "eval_rewards/rejected": -0.1930089294910431,
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- "eval_runtime": 135.9849,
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  "eval_samples": 1994,
17
- "eval_samples_per_second": 14.663,
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- "eval_steps_per_second": 0.463
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  }
 
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  {
2
+ "epoch": 0.9994756161510225,
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+ "eval_log_odds_chosen": 0.4455896019935608,
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+ "eval_log_odds_ratio": -0.6093403697013855,
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+ "eval_logits/chosen": -2.943448543548584,
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+ "eval_logits/rejected": -2.9263010025024414,
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+ "eval_logps/chosen": -0.7282419204711914,
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+ "eval_logps/rejected": -0.9978163242340088,
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+ "eval_loss": 0.4700748324394226,
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+ "eval_nll_loss": 0.4356931149959564,
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+ "eval_rewards/accuracies": 0.658730149269104,
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+ "eval_rewards/chosen": -0.03641209378838539,
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+ "eval_rewards/margins": 0.013478721491992474,
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+ "eval_rewards/rejected": -0.04989081248641014,
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+ "eval_runtime": 137.5022,
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  "eval_samples": 1994,
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+ "eval_samples_per_second": 14.502,
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+ "eval_steps_per_second": 0.458
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  }