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Model save

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Files changed (5) hide show
  1. README.md +13 -16
  2. adapter_model.safetensors +1 -1
  3. all_results.json +4 -17
  4. train_results.json +4 -4
  5. trainer_state.json +414 -414
README.md CHANGED
@@ -1,13 +1,10 @@
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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: NorLLM-AI/NorMistral-7B
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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: norllm-ai-normistral-7b-align-scan
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  results: []
@@ -18,17 +15,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # norllm-ai-normistral-7b-align-scan
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- This model is a fine-tuned version of [data/norllm-ai-normistral-7b-sft-qlora](https://huggingface.co/data/norllm-ai-normistral-7b-sft-qlora) 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: 0.9071
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- - Rewards/chosen: -0.0857
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- - Rewards/rejected: -0.1842
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- - Rewards/accuracies: 0.5714
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- - Rewards/margins: 0.0984
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- - Logps/rejected: -35.0665
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- - Logps/chosen: -31.4539
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- - Logits/rejected: -2.8132
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- - Logits/chosen: -2.8155
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  ## Model description
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@@ -63,9 +60,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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- | 0.841 | 0.26 | 100 | 0.9188 | -0.0118 | -0.0997 | 0.6100 | 0.0879 | -34.8976 | -31.3062 | -2.8098 | -2.8128 |
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- | 0.7163 | 0.52 | 200 | 0.9221 | -0.0953 | -0.1781 | 0.5515 | 0.0829 | -35.0544 | -31.4730 | -2.8173 | -2.8196 |
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- | 0.6439 | 0.78 | 300 | 0.9216 | -0.0864 | -0.1686 | 0.5573 | 0.0822 | -35.0354 | -31.4553 | -2.8133 | -2.8155 |
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  ### Framework versions
 
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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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  - generated_from_trainer
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  base_model: NorLLM-AI/NorMistral-7B
 
 
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  model-index:
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  - name: norllm-ai-normistral-7b-align-scan
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  results: []
 
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  # norllm-ai-normistral-7b-align-scan
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+ This model is a fine-tuned version of [NorLLM-AI/NorMistral-7B](https://huggingface.co/NorLLM-AI/NorMistral-7B) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9279
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+ - Rewards/chosen: -0.0837
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+ - Rewards/rejected: -0.1567
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+ - Rewards/accuracies: 0.6125
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+ - Rewards/margins: 0.0730
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+ - Logps/rejected: -35.4817
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+ - Logps/chosen: -31.7010
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+ - Logits/rejected: -2.8247
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+ - Logits/chosen: -2.8267
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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+ | 0.9239 | 0.26 | 100 | 0.9661 | -0.0010 | -0.0351 | 0.6013 | 0.0342 | -34.8738 | -31.2872 | -2.8027 | -2.8055 |
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+ | 0.8146 | 0.52 | 200 | 0.9363 | -0.0747 | -0.1389 | 0.6184 | 0.0641 | -35.3925 | -31.6561 | -2.8206 | -2.8233 |
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+ | 0.7173 | 0.78 | 300 | 0.9279 | -0.0837 | -0.1567 | 0.6125 | 0.0730 | -35.4817 | -31.7010 | -2.8247 | -2.8267 |
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  ### Framework versions
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