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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: 0.1258
- F1: 0.9411
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.5718 | 1.0 | 1145 | 0.2821 | 0.8392 |
0.3285 | 2.0 | 2290 | 0.2115 | 0.8946 |
0.2087 | 3.0 | 3435 | 0.1258 | 0.9411 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.7.1
- Datasets 1.18.4
- Tokenizers 0.13.2