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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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- generated_from_trainer |
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model-index: |
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- name: zephyr-7b-dpo-full-magpi-low-margin-3-epochs |
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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-magpi-low-margin-3-epochs |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0010 |
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- Rewards/chosen: -3.9690 |
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- Rewards/rejected: -58.1646 |
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- Rewards/accuracies: 0.9980 |
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- Rewards/margins: 54.1956 |
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- Logps/rejected: -6457.2515 |
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- Logps/chosen: -763.8833 |
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- Logits/rejected: 4.2613 |
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- Logits/chosen: 1.2520 |
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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: 3 |
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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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| 0.009 | 0.4739 | 50 | 0.0026 | -0.6343 | -34.9234 | 0.9960 | 34.2890 | -4133.1240 | -430.4127 | -2.6406 | -2.9323 | |
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| 0.0158 | 0.9479 | 100 | 0.0003 | -1.2700 | -43.4290 | 1.0 | 42.1589 | -4983.6846 | -493.9866 | 3.0564 | -0.5346 | |
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| 0.0007 | 1.4218 | 150 | 0.0005 | -2.9913 | -52.6639 | 0.9980 | 49.6726 | -5907.1768 | -666.1114 | 4.1711 | 0.7924 | |
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| 0.0015 | 1.8957 | 200 | 0.0006 | -3.5933 | -54.2858 | 0.9980 | 50.6925 | -6069.3657 | -726.3069 | 4.0713 | 1.0487 | |
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| 0.0 | 2.3697 | 250 | 0.0009 | -3.9372 | -57.6402 | 0.9980 | 53.7030 | -6404.8037 | -760.6977 | 4.2488 | 1.2599 | |
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| 0.0001 | 2.8436 | 300 | 0.0010 | -3.9690 | -58.1646 | 0.9980 | 54.1956 | -6457.2515 | -763.8833 | 4.2613 | 1.2520 | |
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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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