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End of training

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  1. README.md +14 -8
  2. all_results.json +16 -0
  3. eval_results.json +19 -0
README.md CHANGED
@@ -2,9 +2,15 @@
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  license: other
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  base_model: stabilityai/stablelm-2-1_6b
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  tags:
 
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  - trl
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  - orpo
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  - generated_from_trainer
 
 
 
 
 
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  model-index:
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  - name: stablelm-2-1_6b-orpo-full-v1
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  results: []
@@ -15,20 +21,20 @@ should probably proofread and complete it, then remove this comment. -->
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  # stablelm-2-1_6b-orpo-full-v1
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- This model is a fine-tuned version of [stabilityai/stablelm-2-1_6b](https://huggingface.co/stabilityai/stablelm-2-1_6b) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3829
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  - Rewards/chosen: -0.1279
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- - Rewards/rejected: -0.1396
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  - Rewards/accuracies: 0.5625
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- - Rewards/margins: 0.0115
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- - Logps/rejected: -1.3984
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- - Logps/chosen: -1.2812
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  - Logits/rejected: -2.4688
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  - Logits/chosen: -2.4844
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  - Nll Loss: 1.3359
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- - Log Odds Ratio: -0.6793
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- - Log Odds Chosen: 0.1746
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  ## Model description
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  license: other
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  base_model: stabilityai/stablelm-2-1_6b
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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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+ - generated_from_trainer
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+ datasets:
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+ - alvarobartt/dpo-mix-7k-simplified
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  model-index:
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  - name: stablelm-2-1_6b-orpo-full-v1
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  results: []
 
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  # stablelm-2-1_6b-orpo-full-v1
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+ This model is a fine-tuned version of [stabilityai/stablelm-2-1_6b](https://huggingface.co/stabilityai/stablelm-2-1_6b) on the alvarobartt/dpo-mix-7k-simplified dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3790
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  - Rewards/chosen: -0.1279
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+ - Rewards/rejected: -0.1387
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  - Rewards/accuracies: 0.5625
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+ - Rewards/margins: 0.0114
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+ - Logps/rejected: -1.3906
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+ - Logps/chosen: -1.2734
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  - Logits/rejected: -2.4688
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  - Logits/chosen: -2.4844
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  - Nll Loss: 1.3359
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+ - Log Odds Ratio: -0.6799
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+ - Log Odds Chosen: 0.1751
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  ## Model description
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all_results.json CHANGED
@@ -1,5 +1,21 @@
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  {
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  "epoch": 2.0,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "train_loss": 1.48347466719066,
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  "train_runtime": 2049.7189,
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  "train_samples": 6750,
 
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  {
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  "epoch": 2.0,
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+ "eval_log_odds_chosen": 0.1751251220703125,
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+ "eval_log_odds_ratio": -0.679931640625,
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+ "eval_logits/chosen": -2.484375,
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+ "eval_logits/rejected": -2.46875,
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+ "eval_logps/chosen": -1.2734375,
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+ "eval_logps/rejected": -1.390625,
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+ "eval_loss": 1.3789583444595337,
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+ "eval_nll_loss": 1.3359375,
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+ "eval_rewards/accuracies": 0.5625,
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+ "eval_rewards/chosen": -0.1279296875,
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+ "eval_rewards/margins": 0.01141357421875,
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+ "eval_rewards/rejected": -0.138671875,
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+ "eval_runtime": 28.0834,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 26.706,
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+ "eval_steps_per_second": 1.139,
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  "train_loss": 1.48347466719066,
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  "train_runtime": 2049.7189,
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  "train_samples": 6750,
eval_results.json ADDED
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+ {
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+ "epoch": 2.0,
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+ "eval_log_odds_chosen": 0.1751251220703125,
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+ "eval_log_odds_ratio": -0.679931640625,
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+ "eval_logits/chosen": -2.484375,
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+ "eval_logits/rejected": -2.46875,
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+ "eval_logps/chosen": -1.2734375,
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+ "eval_logps/rejected": -1.390625,
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+ "eval_loss": 1.3789583444595337,
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+ "eval_nll_loss": 1.3359375,
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+ "eval_rewards/accuracies": 0.5625,
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+ "eval_rewards/chosen": -0.1279296875,
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+ "eval_rewards/margins": 0.01141357421875,
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+ "eval_rewards/rejected": -0.138671875,
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+ "eval_runtime": 28.0834,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 26.706,
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+ "eval_steps_per_second": 1.139
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+ }