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xlm-roberta-base-finetuned-panx-en-ext_head
This model is a fine-tuned version of xlm-roberta-base on the xtreme dataset. It achieves the following results on the evaluation set:
- Loss: 0.2985
- F1: 0.8075
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: 24
- eval_batch_size: 24
- 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 |
|---|---|---|---|---|
| 0.9161 | 1.0 | 417 | 0.5816 | 0.3588 |
| 0.5572 | 2.0 | 834 | 0.5326 | 0.4619 |
| 0.3821 | 3.0 | 1251 | 0.3929 | 0.5508 |
| 0.2552 | 4.0 | 1668 | 0.3149 | 0.8015 |
| 0.1755 | 5.0 | 2085 | 0.2985 | 0.8075 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
