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xlm-roberta-base-finetuned-panx-te
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: 0.7036
- F1: 0.0
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 2.3928 | 1.0 | 3 | 1.7449 | 0.0557 |
| 1.1558 | 2.0 | 6 | 1.1857 | 0.0 |
| 1.3423 | 3.0 | 9 | 0.9101 | 0.0 |
| 1.4243 | 4.0 | 12 | 0.8289 | 0.0 |
| 1.0195 | 5.0 | 15 | 0.7990 | 0.0 |
| 0.7986 | 6.0 | 18 | 0.7709 | 0.0 |
| 0.9295 | 7.0 | 21 | 0.7279 | 0.0 |
| 0.7131 | 8.0 | 24 | 0.7328 | 0.0 |
| 0.8407 | 9.0 | 27 | 0.7090 | 0.0 |
| 0.9347 | 10.0 | 30 | 0.7036 | 0.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
