metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: dummy-pretrained-mistral7b
results: []
dummy-pretrained-mistral7b
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.2608
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-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.1427 | 1.0 | 225 | 6.4588 |
| 6.087 | 2.0 | 450 | 6.0569 |
| 5.4974 | 3.0 | 675 | 5.8850 |
| 4.9118 | 4.0 | 900 | 5.8386 |
| 4.3293 | 5.0 | 1125 | 5.8841 |
| 3.8031 | 6.0 | 1350 | 5.9791 |
| 3.358 | 7.0 | 1575 | 6.0693 |
| 2.9942 | 8.0 | 1800 | 6.1640 |
| 2.7101 | 9.0 | 2025 | 6.2125 |
| 2.5189 | 10.0 | 2250 | 6.2608 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1
- Datasets 2.21.0
- Tokenizers 0.21.0