xlm-roberta-base-finetuned-panx-en
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: 0.2771
- F1: 0.8326
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.3975 | 1.0 | 1250 | 0.2850 | 0.7912 |
0.2466 | 2.0 | 2500 | 0.2563 | 0.8094 |
0.178 | 3.0 | 3750 | 0.2654 | 0.8260 |
0.1273 | 4.0 | 5000 | 0.2771 | 0.8326 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
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Model tree for ladoza03/xlm-roberta-base-finetuned-panx-en
Base model
FacebookAI/xlm-roberta-base