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: 0.4382
- F1: 0.6483
Model description
More information needed
Intended uses & limitations
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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: 48
- eval_batch_size: 48
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 25 | 0.8191 | 0.4571 |
| 1.0012 | 2.0 | 50 | 0.4816 | 0.5942 |
| 1.0012 | 3.0 | 75 | 0.4382 | 0.6483 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Dmitry2000/xlm-roberta-base-finetuned-panx-en
Base model
FacebookAI/xlm-roberta-base