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xlm-roberta-base-finetuned-peyma-fa
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: 0.0937
- F1: 0.9249
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.1562 | 1.0 | 998 | 0.0691 | 0.8777 |
| 0.0638 | 2.0 | 1996 | 0.0703 | 0.8908 |
| 0.0457 | 3.0 | 2994 | 0.0645 | 0.8975 |
| 0.0281 | 4.0 | 3992 | 0.0842 | 0.8994 |
| 0.0206 | 5.0 | 4990 | 0.0651 | 0.9164 |
| 0.0139 | 6.0 | 5988 | 0.0787 | 0.9148 |
| 0.0083 | 7.0 | 6986 | 0.0838 | 0.9253 |
| 0.0052 | 8.0 | 7984 | 0.0833 | 0.9221 |
| 0.0031 | 9.0 | 8982 | 0.0947 | 0.9230 |
| 0.0028 | 10.0 | 9980 | 0.0937 | 0.9249 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.9.1
- Datasets 2.1.0
- Tokenizers 0.12.1
