metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_19march_5i
results: []
rap_phase2_19march_5i
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: 0.0178
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: 7
- eval_batch_size: 7
- 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 |
|---|---|---|---|
| 0.1477 | 1.0 | 4295 | 0.0859 |
| 0.0574 | 2.0 | 8590 | 0.0485 |
| 0.0295 | 3.0 | 12885 | 0.0388 |
| 0.0311 | 4.0 | 17180 | 0.0336 |
| 0.0169 | 5.0 | 21475 | 0.0275 |
| 0.0169 | 6.0 | 25770 | 0.0245 |
| 0.0037 | 7.0 | 30065 | 0.0204 |
| 0.0024 | 8.0 | 34360 | 0.0164 |
| 0.004 | 9.0 | 38655 | 0.0187 |
| 0.0 | 10.0 | 42950 | 0.0178 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0