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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/b45ab3qe)
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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: 1.0214
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- - Rewards/chosen: -0.0976
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- - Rewards/rejected: -0.1394
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- - Rewards/accuracies: 0.6270
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- - Rewards/margins: 0.0418
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- - Logps/rejected: -2.7882
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- - Logps/chosen: -1.9523
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- - Logits/rejected: -2.8221
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- - Logits/chosen: -2.8059
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- - Nll Loss: 0.9673
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- - Log Odds Ratio: -0.8558
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- - Log Odds Chosen: 0.9869
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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/b45ab3qe)
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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: 1.3771
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+ - Rewards/chosen: -0.1391
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+ - Rewards/rejected: -0.1930
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+ - Rewards/accuracies: 0.6528
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+ - Rewards/margins: 0.0539
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+ - Logps/rejected: -3.8602
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+ - Logps/chosen: -2.7813
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+ - Logits/rejected: -2.8670
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+ - Logits/chosen: -2.8498
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+ - Nll Loss: 1.3532
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+ - Log Odds Ratio: -1.0480
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+ - Log Odds Chosen: 1.2201
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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": 2.9984268484530676,
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- "eval_log_odds_chosen": 0.36045119166374207,
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- "eval_log_odds_ratio": -0.6342776417732239,
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- "eval_logits/chosen": -2.4851083755493164,
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- "eval_logits/rejected": -2.4533143043518066,
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- "eval_logps/chosen": -0.8014506697654724,
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- "eval_logps/rejected": -1.020006775856018,
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- "eval_loss": 0.5071792006492615,
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- "eval_nll_loss": 0.4726640582084656,
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- "eval_rewards/accuracies": 0.6230158805847168,
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- "eval_rewards/chosen": -0.04007253423333168,
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- "eval_rewards/margins": 0.010927810333669186,
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- "eval_rewards/rejected": -0.05100034177303314,
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- "eval_runtime": 136.8627,
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  "eval_samples": 1994,
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- "eval_samples_per_second": 14.569,
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- "eval_steps_per_second": 0.46,
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  "total_flos": 0.0,
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  "train_loss": 0.32389816019492534,
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  "train_runtime": 62235.4926,
 
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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,
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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": 0.32389816019492534,
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  "train_runtime": 62235.4926,
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": 0.9994756161510225,
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- "eval_log_odds_chosen": 0.36045119166374207,
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- "eval_log_odds_ratio": -0.6342776417732239,
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- "eval_logits/chosen": -2.4851083755493164,
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- "eval_logits/rejected": -2.4533143043518066,
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- "eval_logps/chosen": -0.8014506697654724,
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- "eval_logps/rejected": -1.020006775856018,
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- "eval_loss": 0.5071792006492615,
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- "eval_nll_loss": 0.4726640582084656,
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- "eval_rewards/accuracies": 0.6230158805847168,
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- "eval_rewards/chosen": -0.04007253423333168,
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- "eval_rewards/margins": 0.010927810333669186,
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- "eval_rewards/rejected": -0.05100034177303314,
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- "eval_runtime": 136.8627,
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  "eval_samples": 1994,
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- "eval_samples_per_second": 14.569,
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- "eval_steps_per_second": 0.46
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  }
 
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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/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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  }