metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_19dec_120i_v2
results: []
rap_phase2_19dec_120i_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: 0.0000
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
- 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 |
|---|---|---|---|
| 0.884 | 1.0 | 1153 | 0.0157 |
| 0.026 | 2.0 | 2306 | 0.0101 |
| 0.022 | 3.0 | 3459 | 0.0000 |
| 0.0239 | 4.0 | 4612 | 0.0000 |
| 0.0 | 5.0 | 5765 | 0.0000 |
| 0.0147 | 6.0 | 6918 | 0.0061 |
| 0.0004 | 7.0 | 8071 | 0.0000 |
| 0.0 | 8.0 | 9224 | 0.0000 |
| 0.0001 | 9.0 | 10377 | 0.0000 |
| 0.0 | 10.0 | 11530 | 0.0000 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0