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electra-small-doa-finetuned-ms-en-v3
Hazqeel/electra-small-doa-finetuned-ms-en-v3
electra-small-doa-finetuned-ms-en-v3 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
- Aug 18, 2023
- Updated
- Aug 19, 2023
- SHA
- 7d6f62ac
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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-doa-finetuned-ms-en-v3
This model is a fine-tuned version of Hazqeel/electra-small-finetuned-malay-english on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0066
- Accuracy: 0.9987
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: 2.714001199331585e-05
- train_batch_size: 128
- eval_batch_size: 128
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3555 | 1.0 | 2110 | 0.0303 | 0.9907 |
| 0.0273 | 2.0 | 4220 | 0.0089 | 0.9979 |
| 0.0111 | 3.0 | 6330 | 0.0069 | 0.9986 |
| 0.0066 | 4.0 | 8440 | 0.0074 | 0.9984 |
| 0.0044 | 5.0 | 10550 | 0.0066 | 0.9987 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.0.1+cu117
- Datasets 2.10.1
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- Created
- Aug 18, 2023
- Updated
- Aug 19, 2023