zephyr-7b-dpo-lora-pubmedqa-selfgen-complete
This model is a fine-tuned version of EllieS/zephyr-7b-sft-qlora on the EllieS/pubmedqa_dpo_selfgen_complete_data dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rewards/chosen: 0.1952
- Rewards/rejected: -11.1838
- Rewards/accuracies: 1.0
- Rewards/margins: 11.3790
- Logps/rejected: -1156.6167
- Logps/chosen: -39.8472
- Logits/rejected: -2.9309
- Logits/chosen: -2.9452
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0001 | 0.42 | 7000 | 0.0000 | 0.1174 | -11.2894 | 1.0 | 11.4068 | -1167.1736 | -47.6243 | -2.9079 | -2.9350 |
| 0.0002 | 0.83 | 14000 | 0.0000 | 0.1971 | -11.1349 | 1.0 | 11.3320 | -1151.7302 | -39.6554 | -2.9320 | -2.9443 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
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Model tree for EllieS/zephyr-7b-dpo-lora-pubmedqa-selfgen-complete
Base model
mistralai/Mistral-7B-v0.1
Finetuned
alignment-handbook/zephyr-7b-sft-full