nep-spell-mt5-small-02

This model is a fine-tuned version of duraad/nep-spell-mt5-small-01 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0018
• Accuracy: 0.732
• Precision: 0.8016
• Recall: 0.732
• F1: 0.7563

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.0088	1.0	10000	0.0018	0.732	0.8016	0.732	0.7563

Framework versions

• Transformers 4.37.0
• Pytorch 2.1.2
• Datasets 2.17.0
• Tokenizers 0.15.1