metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_MODEL2_14march_10i_v2
results: []
rap_phase2_MODEL2_14march_10i_v2
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: 0.0055
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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6026 | 1.0 | 1270 | 0.5880 |
| 0.3595 | 2.0 | 2540 | 0.2783 |
| 0.314 | 3.0 | 3810 | 0.3707 |
| 0.1367 | 4.0 | 5080 | 0.1391 |
| 0.0593 | 5.0 | 6350 | 0.0528 |
| 0.0172 | 6.0 | 7620 | 0.0588 |
| 0.0213 | 7.0 | 8890 | 0.0111 |
| 0.0128 | 8.0 | 10160 | 0.0124 |
| 0.0066 | 9.0 | 11430 | 0.0102 |
| 0.0017 | 10.0 | 12700 | 0.0055 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0