metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra-small-finetuned-malay-english
results: []
language:
- en
- ms
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