metadata
library_name: transformers
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: GPT_nyala
results: []
GPT_nyala
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0644
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: 3e-05
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 63 | 1.9867 |
| No log | 2.0 | 126 | 1.8179 |
| No log | 3.0 | 189 | 1.6489 |
| No log | 4.0 | 252 | 1.4101 |
| No log | 5.0 | 315 | 1.3706 |
| No log | 6.0 | 378 | 1.4276 |
| No log | 7.0 | 441 | 1.5910 |
| 1.5172 | 8.0 | 504 | 1.6088 |
| 1.5172 | 9.0 | 567 | 1.7207 |
| 1.5172 | 10.0 | 630 | 2.0775 |
| 1.5172 | 11.0 | 693 | 2.2686 |
| 1.5172 | 12.0 | 756 | 2.4158 |
| 1.5172 | 13.0 | 819 | 2.5343 |
| 1.5172 | 14.0 | 882 | 2.6213 |
| 1.5172 | 15.0 | 945 | 2.6917 |
| 0.2964 | 16.0 | 1008 | 2.7928 |
| 0.2964 | 17.0 | 1071 | 3.0821 |
| 0.2964 | 18.0 | 1134 | 3.0595 |
| 0.2964 | 19.0 | 1197 | 3.0762 |
| 0.2964 | 20.0 | 1260 | 3.0644 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0