xlm-roberta-base-finetuned-panx-en
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3121
- F1: 0.7898
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: 3
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.5511 | 1.0 | 263 | 0.3693 | 0.7272 |
0.3016 | 2.0 | 526 | 0.3162 | 0.7725 |
0.2098 | 3.0 | 789 | 0.3121 | 0.7898 |
Framework versions
- Transformers 4.36.0
- Pytorch 1.12.0+cu113
- Datasets 2.17.0
- Tokenizers 0.15.0
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