metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_22jan_8i_v1
results: []
rap_phase2_22jan_8i_v1
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0041
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 |
|---|---|---|---|
| 0.1006 | 1.0 | 12024 | 0.0713 |
| 0.026 | 2.0 | 24048 | 0.0370 |
| 0.0404 | 3.0 | 36072 | 0.0359 |
| 0.0288 | 4.0 | 48096 | 0.0100 |
| 0.0131 | 5.0 | 60120 | 0.0152 |
| 0.0181 | 6.0 | 72144 | 0.0067 |
| 0.0156 | 7.0 | 84168 | 0.0031 |
| 0.0 | 8.0 | 96192 | 0.0038 |
| 0.0 | 9.0 | 108216 | 0.0043 |
| 0.0006 | 10.0 | 120240 | 0.0041 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3