biomistral-7b-dpo-full-sft-wo-live_qa
This model is a fine-tuned version of Minbyul/biomistral-7b-wo-live_qa-sft on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
- Loss: 0.4714
- Rewards/chosen: -0.1308
- Rewards/rejected: -0.7214
- Rewards/accuracies: 0.75
- Rewards/margins: 0.5906
- Logps/rejected: -487.4595
- Logps/chosen: -90.0080
- Logits/rejected: -4.0457
- Logits/chosen: -5.2055
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-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.1183 | 0.82 | 100 | 0.4731 | -0.1249 | -0.7085 | 0.75 | 0.5837 | -486.1749 | -89.4136 | -4.0476 | -5.2050 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.2
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Model tree for Minbyul/biomistral-7b-dpo-full-sft-wo-live_qa
Base model
BioMistral/BioMistral-7B
Finetuned
Minbyul/biomistral-7b-wo-live_qa-sft