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lang_adapter_pfeiffer_fa_farsnews_xlm_roberta_base_10epochs
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: 1.3379
- Accuracy: 0.7077
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: 0.0001
- train_batch_size: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5883 | 1.11 | 500 | 1.3695 | 0.7037 |
| 1.4921 | 2.23 | 1000 | 1.3603 | 0.7064 |
| 1.4724 | 3.34 | 1500 | 1.3502 | 0.7002 |
| 1.4448 | 4.45 | 2000 | 1.3155 | 0.7088 |
| 1.4515 | 5.57 | 2500 | 1.3542 | 0.7048 |
| 1.4293 | 6.68 | 3000 | 1.3244 | 0.7098 |
| 1.4385 | 7.8 | 3500 | 1.3156 | 0.7121 |
| 1.4193 | 8.91 | 4000 | 1.3337 | 0.7106 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
