README.md

metadata

license: apache-2.0
base_model: duraad/nep-spell-mt5-small-0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
  - f1
model-index:
  - name: nep-spell-mt5-small-1
    results: []

nep-spell-mt5-small-1

This model is a fine-tuned version of duraad/nep-spell-mt5-small-0 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Accuracy: 0.8618
• Precision: 0.8972
• Recall: 0.8618
• F1: 0.8742

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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.0	1.0	10000	nan	0.8618	0.8972	0.8618	0.8742

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2