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nepali_complaints_classification_muril2
nadika/nepali_complaints_classification_muril2
nepali_complaints_classification_muril2 is a text classification model from nadika. 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
- Mar 10, 2024
- Updated
- Mar 10, 2024
- SHA
- c595f6a2
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Base models
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. -->
nepali_complaints_classification_muril2
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: 2.6391
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.641 | 0.22 | 500 | 2.6403 |
| 2.6415 | 0.45 | 1000 | 2.6393 |
| 2.6399 | 0.67 | 1500 | 2.6393 |
| 2.64 | 0.89 | 2000 | 2.6395 |
| 2.6398 | 1.11 | 2500 | 2.6395 |
| 2.64 | 1.34 | 3000 | 2.6392 |
| 2.64 | 1.56 | 3500 | 2.6392 |
| 2.6387 | 1.78 | 4000 | 2.6402 |
| 2.64 | 2.01 | 4500 | 2.6391 |
| 2.6396 | 2.23 | 5000 | 2.6392 |
| 2.6394 | 2.45 | 5500 | 2.6391 |
| 2.64 | 2.67 | 6000 | 2.6392 |
| 2.6398 | 2.9 | 6500 | 2.6391 |
| 2.6395 | 3.12 | 7000 | 2.6391 |
| 2.6392 | 3.34 | 7500 | 2.6391 |
| 2.6384 | 3.57 | 8000 | 2.6394 |
| 2.6392 | 3.79 | 8500 | 2.6391 |
| 2.6392 | 4.01 | 9000 | 2.6391 |
| 2.639 | 4.23 | 9500 | 2.6391 |
| 2.6391 | 4.46 | 10000 | 2.6391 |
| 2.6391 | 4.68 | 10500 | 2.6391 |
| 2.6391 | 4.9 | 11000 | 2.6391 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 10, 2024
- Updated
- Mar 10, 2024