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muril-base-cased-finetuned-TRAC-DS
IIIT-L/muril-base-cased-finetuned-TRAC-DS
muril-base-cased-finetuned-TRAC-DS is a text classification model from IIIT-L. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Sep 29, 2022
- Updated
- Sep 29, 2022
- SHA
- 5a30efcf
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
muril-base-cased-finetuned-TRAC-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: 1.1894
- Accuracy: 0.6838
- Precision: 0.6534
- Recall: 0.6513
- F1: 0.6522
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 |
|---|---|---|---|---|---|---|---|
| 1.0109 | 1.99 | 612 | 0.9284 | 0.5948 | 0.4327 | 0.5193 | 0.4509 |
| 0.8635 | 3.99 | 1224 | 0.8556 | 0.6291 | 0.6012 | 0.5865 | 0.5888 |
| 0.764 | 5.98 | 1836 | 0.8585 | 0.6609 | 0.6249 | 0.6275 | 0.6260 |
| 0.6744 | 7.97 | 2448 | 0.8469 | 0.6732 | 0.6391 | 0.6408 | 0.6398 |
| 0.5865 | 9.97 | 3060 | 0.8438 | 0.6667 | 0.6424 | 0.6395 | 0.6395 |
| 0.4978 | 11.96 | 3672 | 0.9269 | 0.6855 | 0.6532 | 0.6582 | 0.6542 |
| 0.4245 | 13.95 | 4284 | 0.9934 | 0.6699 | 0.6397 | 0.6482 | 0.6396 |
| 0.378 | 15.95 | 4896 | 1.0488 | 0.6830 | 0.6530 | 0.6446 | 0.6474 |
| 0.3349 | 17.94 | 5508 | 1.0548 | 0.6806 | 0.6505 | 0.6536 | 0.6518 |
| 0.3019 | 19.93 | 6120 | 1.1092 | 0.6757 | 0.6476 | 0.6497 | 0.6482 |
| 0.2869 | 21.93 | 6732 | 1.1515 | 0.6814 | 0.6507 | 0.6514 | 0.6510 |
| 0.2575 | 23.92 | 7344 | 1.1894 | 0.6838 | 0.6534 | 0.6513 | 0.6522 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.10.1+cu111
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 29, 2022
- Updated
- Sep 29, 2022