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