metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_20march_5i
results: []
rap_phase2_20march_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: 0.0185
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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 11
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1514 | 1.0 | 5010 | 0.1217 |
| 0.0838 | 2.0 | 10020 | 0.0565 |
| 0.3011 | 3.0 | 15030 | 0.0602 |
| 0.0474 | 4.0 | 20040 | 0.0621 |
| 0.027 | 5.0 | 25050 | 0.0518 |
| 0.0109 | 6.0 | 30060 | 0.0400 |
| 0.007 | 7.0 | 35070 | 0.0229 |
| 0.014 | 8.0 | 40080 | 0.0236 |
| 0.0027 | 9.0 | 45090 | 0.0245 |
| 0.006 | 10.0 | 50100 | 0.0202 |
| 0.0029 | 11.0 | 55110 | 0.0185 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0