End of training
Browse files- README.md +14 -8
- all_results.json +16 -0
- eval_results.json +19 -0
README.md
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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: []
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@@ -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
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Rewards/chosen: -0.1279
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- Rewards/rejected: -0.
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- Rewards/accuracies: 0.5625
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- Rewards/margins: 0.
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- Logps/rejected: -1.
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- Logps/chosen: -1.
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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.
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- Log Odds Chosen: 0.
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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
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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,
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eval_results.json
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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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}
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