metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-lora
results: []
zephyr-7b-dpo-lora
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5655
- Rewards/chosen: -0.0745
- Rewards/rejected: -0.5329
- Rewards/accuracies: 0.7000
- Rewards/margins: 0.4583
- Logps/rejected: -224.6270
- Logps/chosen: -265.4236
- Logits/rejected: -2.0002
- Logits/chosen: -2.1215
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: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6125 | 1.0 | 242 | 0.6057 | 0.0079 | -0.2400 | 0.6760 | 0.2479 | -221.6983 | -264.5998 | -2.0242 | -2.1445 |
| 0.5849 | 2.0 | 484 | 0.5731 | -0.0578 | -0.4714 | 0.6900 | 0.4136 | -224.0123 | -265.2563 | -2.0071 | -2.1279 |
| 0.5671 | 3.0 | 726 | 0.5655 | -0.0745 | -0.5329 | 0.7000 | 0.4583 | -224.6270 | -265.4236 | -2.0002 | -2.1215 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1