metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_26march_custom
results: []
rap_phase2_26march_custom
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: 0.0130
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 0.1376 | 1.0 | 3968 | 0.1012 |
| 0.0825 | 2.0 | 7936 | 0.0518 |
| 0.9985 | 3.0 | 11904 | 0.0451 |
| 0.0379 | 4.0 | 15872 | 0.0324 |
| 0.0281 | 5.0 | 19840 | 0.0253 |
| 0.0096 | 6.0 | 23808 | 0.0204 |
| 0.0062 | 7.0 | 27776 | 0.0147 |
| 0.0072 | 8.0 | 31744 | 0.0106 |
| 0.0013 | 9.0 | 35712 | 0.0129 |
| 0.0002 | 10.0 | 39680 | 0.0130 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0