metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-bid
results: []
xlm-bid
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2699
- F1: 0.8780
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: 5e-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 | F1 |
|---|---|---|---|---|
| 1.7339 | 1.0 | 23 | 1.2478 | 0.0 |
| 1.0626 | 2.0 | 46 | 0.6075 | 0.5294 |
| 0.5754 | 3.0 | 69 | 0.3023 | 0.8095 |
| 0.3271 | 4.0 | 92 | 0.3282 | 0.8095 |
| 0.265 | 5.0 | 115 | 0.2951 | 0.8571 |
| 0.1909 | 6.0 | 138 | 0.3189 | 0.7907 |
| 0.1304 | 7.0 | 161 | 0.3330 | 0.8095 |
| 0.1128 | 8.0 | 184 | 0.3141 | 0.8095 |
| 0.0808 | 9.0 | 207 | 0.2712 | 0.9268 |
| 0.0803 | 10.0 | 230 | 0.2699 | 0.8780 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3