hugodk-sch commited on
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3abe2a3
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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: -34.0176
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- - Logps/rejected: -37.5142
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- - Loss: 0.3276
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- - Rewards/accuracies: 0.5365
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- - Rewards/chosen: 0.0152
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- - Rewards/margins: 0.0131
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- - Rewards/rejected: 0.0022
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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: 0.3447
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+ - Rewards/chosen: 0.0141
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+ - Rewards/rejected: 0.0084
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+ - Rewards/accuracies: 0.5162
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+ - Rewards/margins: 0.0057
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+ - Logps/rejected: -37.5073
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+ - Logps/chosen: -34.0189
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+ - Logits/rejected: -2.2388
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+ - Logits/chosen: -2.2437
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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": 0.01411630492657423,
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  "eval_rewards/margins": 0.005696756765246391,
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  "eval_rewards/rejected": 0.008419547230005264,
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- "eval_runtime": 145.8183,
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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": 0.0744757689438857,
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  "train_runtime": 628.0651,
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  "train_samples": 3079,
 
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  "eval_rewards/chosen": 0.01411630492657423,
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  "eval_rewards/margins": 0.005696756765246391,
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  "eval_rewards/rejected": 0.008419547230005264,
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+ "eval_runtime": 146.1664,
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  "eval_samples": 343,
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+ "eval_samples_per_second": 2.347,
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+ "eval_steps_per_second": 0.294,
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  "train_loss": 0.0744757689438857,
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  "train_runtime": 628.0651,
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  "train_samples": 3079,
eval_results.json CHANGED
@@ -9,8 +9,8 @@
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  "eval_rewards/chosen": 0.01411630492657423,
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  "eval_rewards/margins": 0.005696756765246391,
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  "eval_rewards/rejected": 0.008419547230005264,
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- "eval_runtime": 145.8183,
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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": 0.01411630492657423,
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  "eval_rewards/margins": 0.005696756765246391,
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  "eval_rewards/rejected": 0.008419547230005264,
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+ "eval_runtime": 146.1664,
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  "eval_samples": 343,
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+ "eval_samples_per_second": 2.347,
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+ "eval_steps_per_second": 0.294
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  }