metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_MODEL2_14march_08i
results: []
rap_phase2_MODEL2_14march_08i
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: 0.0056
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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6723 | 1.0 | 1016 | 0.4252 |
| 0.4089 | 2.0 | 2032 | 0.3294 |
| 0.203 | 3.0 | 3048 | 0.1063 |
| 0.0846 | 4.0 | 4064 | 0.2063 |
| 0.0749 | 5.0 | 5080 | 0.0256 |
| 0.0208 | 6.0 | 6096 | 0.0063 |
| 0.0021 | 7.0 | 7112 | 0.0135 |
| 0.0074 | 8.0 | 8128 | 0.0056 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0