ft-mistral-7b-v01
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the OpenAssistant/oasst_top1_2023-08-25 dataset. It achieves the following results on the evaluation set:
- Loss: 2.1947
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1567 | 1.0 | 56 | 1.7930 |
| 0.8783 | 1.99 | 112 | 2.0771 |
| 0.4812 | 2.99 | 168 | 2.1947 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2