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electra-small-finetuned-malay-english
Hazqeel/electra-small-finetuned-malay-english
electra-small-finetuned-malay-english is a text classification model from Hazqeel. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- electra
- Access
- Public
- Created
- Mar 25, 2023
- Updated
- Apr 5, 2023
- SHA
- 40951520
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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. -->
electra-small-finetuned-malay-english
This model is a fine-tuned version of Hazqeel/electra-small-finetuned-sst2-rotten_tomatoes-distilled on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2274
- Accuracy: 0.9392
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: 0.00012157861764282722
- train_batch_size: 32
- eval_batch_size: 32
- seed: 39
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1491 | 1.0 | 8431 | 0.2398 | 0.9217 |
| 0.13 | 2.0 | 16862 | 0.1834 | 0.9343 |
| 0.0965 | 3.0 | 25293 | 0.2274 | 0.9392 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- Languages
- en, ms
- Created
- Mar 25, 2023
- Updated
- Apr 5, 2023