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--- |
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license: apache-2.0 |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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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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model-index: |
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- name: zephyr-7b-dpo-full-prometheus_consistent-3 |
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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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# zephyr-7b-dpo-full-prometheus_consistent-3 |
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5201 |
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- Rewards/chosen: -0.8222 |
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- Rewards/rejected: -1.7957 |
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- Rewards/accuracies: 0.7759 |
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- Rewards/margins: 0.9734 |
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- Logps/rejected: -398.6412 |
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- Logps/chosen: -357.8258 |
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- Logits/rejected: 1.5724 |
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- Logits/chosen: -0.0130 |
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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-07 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 55 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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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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| 0.5995 | 0.2286 | 100 | 0.5960 | -0.3095 | -0.7496 | 0.7155 | 0.4400 | -294.0323 | -306.5585 | -2.3479 | -2.4655 | |
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| 0.5431 | 0.4571 | 200 | 0.5326 | -0.6273 | -1.5233 | 0.7629 | 0.8960 | -371.4070 | -338.3311 | -0.0959 | -1.0624 | |
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| 0.5138 | 0.6857 | 300 | 0.5242 | -0.5729 | -1.4989 | 0.7629 | 0.9260 | -368.9617 | -332.8911 | 0.6740 | -0.7677 | |
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| 0.5493 | 0.9143 | 400 | 0.5201 | -0.8222 | -1.7957 | 0.7759 | 0.9734 | -398.6412 | -357.8258 | 1.5724 | -0.0130 | |
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### Framework versions |
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- Transformers 4.44.0.dev0 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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