metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_19jan_22i_v1
results: []
rap_phase2_19jan_22i_v1
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: 0.0024
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0487 | 1.0 | 17996 | 0.0351 |
| 0.0289 | 2.0 | 35992 | 0.0197 |
| 0.0219 | 3.0 | 53988 | 0.0076 |
| 0.0126 | 4.0 | 71984 | 0.0027 |
| 0.0128 | 5.0 | 89980 | 0.0036 |
| 0.0 | 6.0 | 107976 | 0.0025 |
| 0.0002 | 7.0 | 125972 | 0.0026 |
| 0.0002 | 8.0 | 143968 | 0.0027 |
| 0.0014 | 9.0 | 161964 | 0.0024 |
| 0.0 | 10.0 | 179960 | 0.0024 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0