hugodk-sch commited on
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df5a1c8
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End of training

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Files changed (3) hide show
  1. README.md +13 -11
  2. all_results.json +3 -3
  3. eval_results.json +3 -3
README.md CHANGED
@@ -1,11 +1,13 @@
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  ---
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  library_name: peft
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  tags:
 
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  - trl
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  - dpo
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- - alignment-handbook
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  - generated_from_trainer
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  base_model: NbAiLab/nb-gpt-j-6B-v2
 
 
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  model-index:
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  - name: aftonposten-6b-align-scan
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  results: []
@@ -16,17 +18,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # aftonposten-6b-align-scan
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- This model is a fine-tuned version of [NbAiLab/nb-gpt-j-6B-v2](https://huggingface.co/NbAiLab/nb-gpt-j-6B-v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Logits/chosen: -2.2439
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- - Logits/rejected: -2.2390
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- - Logps/chosen: -34.0268
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- - Logps/rejected: -37.5040
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- - Loss: 0.6981
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- - Rewards/accuracies: 0.4983
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- - Rewards/chosen: 0.0062
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- - Rewards/margins: -0.0039
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- - Rewards/rejected: 0.0101
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  ## Model description
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  ---
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  library_name: peft
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  tags:
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+ - alignment-handbook
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  - trl
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  - dpo
 
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  - generated_from_trainer
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  base_model: NbAiLab/nb-gpt-j-6B-v2
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+ datasets:
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+ - hugodk-sch/aftonposten_title_prefs
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  model-index:
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  - name: aftonposten-6b-align-scan
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  results: []
 
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  # aftonposten-6b-align-scan
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+ This model is a fine-tuned version of [data/ap-gpt-j-6b-sft-qlora-04-08](https://huggingface.co/data/ap-gpt-j-6b-sft-qlora-04-08) on the hugodk-sch/aftonposten_title_prefs dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7054
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+ - Rewards/chosen: -0.0010
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+ - Rewards/rejected: 0.0163
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+ - Rewards/accuracies: 0.4726
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+ - Rewards/margins: -0.0174
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+ - Logps/rejected: -37.4962
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+ - Logps/chosen: -34.0358
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+ - Logits/rejected: -2.2386
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+ - Logits/chosen: -2.2435
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  ## Model description
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all_results.json CHANGED
@@ -9,10 +9,10 @@
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  "eval_rewards/chosen": -0.001035186112858355,
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  "eval_rewards/margins": -0.017356980592012405,
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  "eval_rewards/rejected": 0.01632179319858551,
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- "eval_runtime": 145.8229,
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  "eval_samples": 343,
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- "eval_samples_per_second": 2.352,
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- "eval_steps_per_second": 0.295,
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  "train_loss": 0.15268191238502404,
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  "train_runtime": 627.0699,
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  "train_samples": 3079,
 
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  "eval_rewards/chosen": -0.001035186112858355,
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  "eval_rewards/margins": -0.017356980592012405,
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  "eval_rewards/rejected": 0.01632179319858551,
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+ "eval_runtime": 146.0323,
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  "eval_samples": 343,
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+ "eval_samples_per_second": 2.349,
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+ "eval_steps_per_second": 0.294,
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  "train_loss": 0.15268191238502404,
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  "train_runtime": 627.0699,
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  "train_samples": 3079,
eval_results.json CHANGED
@@ -9,8 +9,8 @@
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  "eval_rewards/chosen": -0.001035186112858355,
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  "eval_rewards/margins": -0.017356980592012405,
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  "eval_rewards/rejected": 0.01632179319858551,
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- "eval_runtime": 145.8229,
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  "eval_samples": 343,
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- "eval_samples_per_second": 2.352,
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- "eval_steps_per_second": 0.295
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  }
 
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  "eval_rewards/chosen": -0.001035186112858355,
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  "eval_rewards/margins": -0.017356980592012405,
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  "eval_rewards/rejected": 0.01632179319858551,
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+ "eval_runtime": 146.0323,
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  "eval_samples": 343,
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+ "eval_samples_per_second": 2.349,
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+ "eval_steps_per_second": 0.294
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  }