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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: 24.8075 |
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- Rewards/chosen: -0.0054 |
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- Rewards/rejected: -0.0092 |
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- Rewards/accuracies: 0.5133 |
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- Rewards/margins: 0.0038 |
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- Logps/rejected: -37.6085 |
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- Logps/chosen: -34.0885 |
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- Logits/rejected: -2.2234 |
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- Logits/chosen: -2.2282 |
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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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| 23.9156 | 0.26 | 100 | 24.9323 | -0.0015 | -0.0033 | 0.5282 | 0.0018 | -37.5501 | -34.0500 | -2.2289 | -2.2338 | |
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| 22.4879 | 0.52 | 200 | 24.7992 | -0.0025 | -0.0061 | 0.5598 | 0.0037 | -37.5780 | -34.0593 | -2.2258 | -2.2307 | |
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| 19.8329 | 0.78 | 300 | 24.9557 | -0.0066 | -0.0089 | 0.5216 | 0.0023 | -37.6060 | -34.1010 | -2.2229 | -2.2278 | |
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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 |
