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muril-base-cased-finetuned-ours-DS
This model is a fine-tuned version of google/muril-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8885
- Accuracy: 0.625
- Precision: 0.5563
- Recall: 0.5570
- F1: 0.5412
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 43
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.0904 | 1.98 | 99 | 1.0762 | 0.245 | 0.0817 | 0.3333 | 0.1312 |
| 1.0535 | 3.96 | 198 | 1.0206 | 0.595 | 0.3940 | 0.5312 | 0.4410 |
| 0.9936 | 5.94 | 297 | 1.0099 | 0.58 | 0.3582 | 0.4833 | 0.4115 |
| 0.9371 | 7.92 | 396 | 0.9645 | 0.615 | 0.3918 | 0.5378 | 0.4507 |
| 0.8931 | 9.9 | 495 | 0.9333 | 0.615 | 0.3969 | 0.5447 | 0.4535 |
| 0.8237 | 11.88 | 594 | 0.9273 | 0.595 | 0.5451 | 0.5171 | 0.4439 |
| 0.7772 | 13.86 | 693 | 0.8890 | 0.61 | 0.5186 | 0.5512 | 0.4661 |
| 0.7365 | 15.84 | 792 | 0.8834 | 0.625 | 0.5661 | 0.5666 | 0.5112 |
| 0.6987 | 17.82 | 891 | 0.9026 | 0.615 | 0.5532 | 0.5507 | 0.5314 |
| 0.679 | 19.8 | 990 | 0.9018 | 0.63 | 0.5631 | 0.5596 | 0.5501 |
| 0.6572 | 21.78 | 1089 | 0.8737 | 0.635 | 0.5782 | 0.5806 | 0.5614 |
| 0.644 | 23.76 | 1188 | 0.8885 | 0.625 | 0.5563 | 0.5570 | 0.5412 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.10.1+cu111
- Datasets 2.3.2
- Tokenizers 0.12.1
