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xlm-roberta-base-finetuned-panx-fr
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: 0.2814
- F1: 0.8324
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 | 24 | 0.5559 | 0.6516 |
| No log | 2.0 | 48 | 0.3394 | 0.7818 |
| No log | 3.0 | 72 | 0.2994 | 0.8059 |
| No log | 4.0 | 96 | 0.2888 | 0.8221 |
| No log | 5.0 | 120 | 0.2853 | 0.8326 |
| No log | 6.0 | 144 | 0.2814 | 0.8324 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1
