metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: nor-baseline-small
results: []
nor-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7928
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 4.882 | 1.0 | 492 | 4.6672 |
| 4.2559 | 2.0 | 984 | 4.3808 |
| 4.0281 | 3.0 | 1476 | 4.2255 |
| 3.876 | 4.0 | 1968 | 4.0927 |
| 3.7461 | 5.0 | 2460 | 3.9991 |
| 3.6336 | 6.0 | 2952 | 3.9261 |
| 3.5502 | 7.0 | 3444 | 3.8677 |
| 3.4848 | 8.0 | 3936 | 3.8284 |
| 3.4246 | 9.0 | 4428 | 3.8010 |
| 3.3993 | 10.0 | 4920 | 3.7928 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2