metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_20dec_15i_v1.csv
results: []
rap_phase2_20dec_15i_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: 0.0001
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 |
|---|---|---|---|
| No log | 1.0 | 169 | 0.8805 |
| No log | 2.0 | 338 | 0.7918 |
| 1.5516 | 3.0 | 507 | 0.7187 |
| 1.5516 | 4.0 | 676 | 0.2477 |
| 1.5516 | 5.0 | 845 | 0.0310 |
| 0.2826 | 6.0 | 1014 | 0.0003 |
| 0.2826 | 7.0 | 1183 | 0.0002 |
| 0.2826 | 8.0 | 1352 | 0.0001 |
| 0.012 | 9.0 | 1521 | 0.0114 |
| 0.012 | 10.0 | 1690 | 0.0001 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0