runpod-test-2
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: 1.1686
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: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2091 | 1.0 | 10 | 1.2002 |
| 1.1933 | 2.0 | 20 | 1.1868 |
| 1.181 | 3.0 | 30 | 1.1769 |
| 1.1728 | 4.0 | 40 | 1.1708 |
| 1.1683 | 5.0 | 50 | 1.1686 |
Framework versions
- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.1.0+cu118
- Datasets 3.4.0
- Tokenizers 0.21.1
- Downloads last month
- 1
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
Model tree for Nac31/runpod-test-2
Base model
mistralai/Mistral-7B-v0.1