metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_13dec_10i_v1.csv
results: []
rap_phase2_13dec_10i_v1.csv
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: 0.1720
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 |
|---|---|---|---|
| 0.2204 | 1.0 | 4135 | 0.2769 |
| 0.1411 | 2.0 | 8270 | 0.1474 |
| 0.0612 | 3.0 | 12405 | 0.1037 |
| 0.6502 | 4.0 | 16540 | 0.7344 |
| 0.4443 | 5.0 | 20675 | 0.2943 |
| 0.1665 | 6.0 | 24810 | 0.1816 |
| 0.0239 | 7.0 | 28945 | 0.0175 |
| 0.1909 | 8.0 | 33080 | 0.2301 |
| 0.1625 | 9.0 | 37215 | 0.1709 |
| 0.1384 | 10.0 | 41350 | 0.1720 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0