hugodk-sch commited on
Commit
64cc945
1 Parent(s): 04fb078

End of training

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Files changed (3) hide show
  1. README.md +11 -9
  2. all_results.json +12 -12
  3. eval_results.json +13 -13
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: []
@@ -16,15 +18,15 @@ 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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- - Loss: 6.0348
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- - Rewards/chosen: -0.0125
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- - Rewards/rejected: -0.0385
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- - Rewards/accuracies: 0.5835
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- - Rewards/margins: 0.0260
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- - Logps/rejected: -37.7091
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- - Logps/chosen: -34.0972
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  - Logits/rejected: -2.2004
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  - Logits/chosen: -2.2052
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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: 6.0779
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+ - Rewards/chosen: -0.0133
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+ - Rewards/rejected: -0.0383
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+ - Rewards/accuracies: 0.5714
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+ - Rewards/margins: 0.0250
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+ - Logps/rejected: -37.7083
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+ - Logps/chosen: -34.1011
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  - Logits/rejected: -2.2004
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  - Logits/chosen: -2.2052
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all_results.json CHANGED
@@ -1,18 +1,18 @@
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  {
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  "epoch": 4.0,
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- "eval_logits/chosen": -2.22882342338562,
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- "eval_logits/rejected": -2.223994731903076,
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- "eval_logps/chosen": -34.021240234375,
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- "eval_logps/rejected": -37.54384994506836,
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- "eval_loss": 6.194193363189697,
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- "eval_rewards/accuracies": 0.5664451718330383,
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- "eval_rewards/chosen": 0.0026620819699019194,
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- "eval_rewards/margins": 0.008108925074338913,
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- "eval_rewards/rejected": -0.0054468438029289246,
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- "eval_runtime": 145.4532,
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  "eval_samples": 343,
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- "eval_samples_per_second": 2.358,
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- "eval_steps_per_second": 0.296,
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  "train_loss": 1.3887401007986688,
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  "train_runtime": 10806.9485,
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  "train_samples": 3079,
 
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  {
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  "epoch": 4.0,
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+ "eval_logits/chosen": -2.205192804336548,
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+ "eval_logits/rejected": -2.20035719871521,
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+ "eval_logps/chosen": -34.1010856628418,
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+ "eval_logps/rejected": -37.70829772949219,
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+ "eval_loss": 6.077866077423096,
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+ "eval_rewards/accuracies": 0.5714285373687744,
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+ "eval_rewards/chosen": -0.013306654058396816,
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+ "eval_rewards/margins": 0.025028489530086517,
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+ "eval_rewards/rejected": -0.03833514451980591,
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+ "eval_runtime": 145.6887,
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  "eval_samples": 343,
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+ "eval_samples_per_second": 2.354,
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+ "eval_steps_per_second": 0.295,
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  "train_loss": 1.3887401007986688,
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  "train_runtime": 10806.9485,
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  "train_samples": 3079,
eval_results.json CHANGED
@@ -1,16 +1,16 @@
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  {
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- "epoch": 1.0,
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- "eval_logits/chosen": -2.22882342338562,
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- "eval_logits/rejected": -2.223994731903076,
5
- "eval_logps/chosen": -34.021240234375,
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- "eval_logps/rejected": -37.54384994506836,
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- "eval_loss": 6.194193363189697,
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- "eval_rewards/accuracies": 0.5664451718330383,
9
- "eval_rewards/chosen": 0.0026620819699019194,
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- "eval_rewards/margins": 0.008108925074338913,
11
- "eval_rewards/rejected": -0.0054468438029289246,
12
- "eval_runtime": 145.4532,
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  "eval_samples": 343,
14
- "eval_samples_per_second": 2.358,
15
- "eval_steps_per_second": 0.296
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  }
 
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  {
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+ "epoch": 4.0,
3
+ "eval_logits/chosen": -2.205192804336548,
4
+ "eval_logits/rejected": -2.20035719871521,
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+ "eval_logps/chosen": -34.1010856628418,
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+ "eval_logps/rejected": -37.70829772949219,
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+ "eval_loss": 6.077866077423096,
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+ "eval_rewards/accuracies": 0.5714285373687744,
9
+ "eval_rewards/chosen": -0.013306654058396816,
10
+ "eval_rewards/margins": 0.025028489530086517,
11
+ "eval_rewards/rejected": -0.03833514451980591,
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+ "eval_runtime": 145.6887,
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  "eval_samples": 343,
14
+ "eval_samples_per_second": 2.354,
15
+ "eval_steps_per_second": 0.295
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  }