Mistral-7B-v0.1-finetuned-mrpc-v1
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the glue dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Accuracy: 0.2951
- F1: 0.0
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 69 | nan | 0.2951 | 0.0 |
| No log | 2.0 | 138 | nan | 0.2951 | 0.0 |
| No log | 3.0 | 207 | nan | 0.2951 | 0.0 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1