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muril-base-cased-finetuned-combined-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: 1.5291
- Accuracy: 0.6657
- Precision: 0.6355
- Recall: 0.6275
- F1: 0.6294
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 |
|---|---|---|---|---|---|---|---|
| 0.9961 | 2.0 | 711 | 0.9148 | 0.5625 | 0.5495 | 0.5636 | 0.5265 |
| 0.8211 | 3.99 | 1422 | 0.8542 | 0.6096 | 0.6023 | 0.6071 | 0.5928 |
| 0.6667 | 5.99 | 2133 | 0.8459 | 0.6601 | 0.6366 | 0.6379 | 0.6361 |
| 0.5272 | 7.99 | 2844 | 0.9667 | 0.6517 | 0.6190 | 0.6223 | 0.6201 |
| 0.4327 | 9.99 | 3555 | 1.0185 | 0.6503 | 0.6351 | 0.6222 | 0.6229 |
| 0.3608 | 11.98 | 4266 | 1.1409 | 0.6313 | 0.6053 | 0.6100 | 0.6049 |
| 0.3038 | 13.98 | 4977 | 1.2336 | 0.6601 | 0.6287 | 0.6269 | 0.6273 |
| 0.2631 | 15.98 | 5688 | 1.3151 | 0.6503 | 0.6199 | 0.6167 | 0.6177 |
| 0.2368 | 17.97 | 6399 | 1.4230 | 0.6594 | 0.6315 | 0.6233 | 0.6251 |
| 0.2093 | 19.97 | 7110 | 1.4881 | 0.6629 | 0.6332 | 0.6220 | 0.6239 |
| 0.1968 | 21.97 | 7821 | 1.5003 | 0.6559 | 0.6279 | 0.6230 | 0.6242 |
| 0.1824 | 23.97 | 8532 | 1.5291 | 0.6657 | 0.6355 | 0.6275 | 0.6294 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.10.1+cu111
- Datasets 2.3.2
- Tokenizers 0.12.1
