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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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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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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 [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: 2.7902 |
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- Rewards/chosen: -0.0060 |
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- Rewards/rejected: -0.0171 |
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- Rewards/accuracies: 0.5602 |
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- Rewards/margins: 0.0111 |
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- Logps/rejected: -37.5735 |
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- Logps/chosen: -34.0545 |
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- Logits/rejected: -2.2247 |
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- Logits/chosen: -2.2295 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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### Training results |
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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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| 2.59 | 0.26 | 100 | 2.8958 | 0.0029 | 0.0052 | 0.4730 | -0.0024 | -37.4993 | -34.0250 | -2.2305 | -2.2353 | |
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| 2.2795 | 0.52 | 200 | 2.8012 | -0.0060 | -0.0145 | 0.5278 | 0.0085 | -37.5651 | -34.0545 | -2.2290 | -2.2339 | |
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| 1.7902 | 0.78 | 300 | 2.7585 | -0.0030 | -0.0167 | 0.5748 | 0.0137 | -37.5724 | -34.0446 | -2.2245 | -2.2294 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.37.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
