metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-all
results: []
xlm-roberta-base-finetuned-panx-all
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: 0.1746
- F1: 0.8520
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: 192
- eval_batch_size: 192
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 105 | 0.2134 | 0.7918 |
| No log | 2.0 | 210 | 0.1846 | 0.8206 |
| No log | 3.0 | 315 | 0.1773 | 0.8413 |
| No log | 4.0 | 420 | 0.1714 | 0.8469 |
| No log | 5.0 | 525 | 0.1722 | 0.8510 |
| No log | 6.0 | 630 | 0.1746 | 0.8520 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1