Roberta-finetuned-Parsi-Mianeh-Corpus
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.3460
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 9.7742 | 0.22 | 20 | 9.1221 |
| 8.9449 | 0.44 | 40 | 8.7575 |
| 8.8313 | 0.66 | 60 | 8.4927 |
| 8.4673 | 0.88 | 80 | 8.2024 |
| 8.1893 | 1.1 | 100 | 8.0003 |
| 8.0109 | 1.32 | 120 | 7.7822 |
| 7.7539 | 1.54 | 140 | 7.5710 |
| 7.5504 | 1.76 | 160 | 7.5742 |
| 7.4363 | 1.98 | 180 | 7.4550 |
| 7.3383 | 2.2 | 200 | 7.3248 |
| 7.3509 | 2.42 | 220 | 7.1785 |
| 7.3977 | 2.64 | 240 | 7.1737 |
| 7.2945 | 2.86 | 260 | 7.3460 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
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