metadata
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: gemini_chakma_roberta
results: []
gemini_chakma_roberta
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2323
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1922 | 1.0 | 205 | 3.3312 |
| 2.8762 | 2.0 | 410 | 3.1542 |
| 2.6543 | 3.0 | 615 | 3.0181 |
| 2.5254 | 4.0 | 820 | 2.8706 |
| 2.4038 | 5.0 | 1025 | 2.7951 |
| 2.325 | 6.0 | 1230 | 2.7440 |
| 2.2749 | 7.0 | 1435 | 2.6188 |
| 2.1967 | 8.0 | 1640 | 2.6125 |
| 2.1665 | 9.0 | 1845 | 2.4628 |
| 2.1042 | 10.0 | 2050 | 2.4725 |
| 2.0445 | 11.0 | 2255 | 2.3773 |
| 2.0271 | 12.0 | 2460 | 2.3718 |
| 2.0039 | 13.0 | 2665 | 2.3011 |
| 1.9585 | 14.0 | 2870 | 2.3232 |
| 1.961 | 15.0 | 3075 | 2.2512 |
| 1.914 | 16.0 | 3280 | 2.2426 |
| 1.9351 | 17.0 | 3485 | 2.2657 |
| 1.8987 | 18.0 | 3690 | 2.2187 |
| 1.8596 | 19.0 | 3895 | 2.2450 |
| 1.8777 | 20.0 | 4100 | 2.2323 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0