metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-panx-uz
results: []
xlm-roberta-panx-uz
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: 0.1779
- F1: 0.9368
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.0769 | 1.0 | 150 | 0.1657 | 0.9259 |
| 0.0416 | 2.0 | 300 | 0.1587 | 0.9219 |
| 0.0239 | 3.0 | 450 | 0.1641 | 0.9396 |
| 0.014 | 4.0 | 600 | 0.1684 | 0.9288 |
| 0.0093 | 5.0 | 750 | 0.1779 | 0.9368 |
Framework versions
- Transformers 4.27.3
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.12.1