metadata
library_name: transformers
base_model: fahadqazi/Bart-Sindhi-SpellChecker
tags:
- generated_from_trainer
model-index:
- name: Bart-Sindhi-SpellChecker
results: []
Bart-Sindhi-SpellChecker
This model is a fine-tuned version of fahadqazi/Bart-Sindhi-SpellChecker on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0223
- eval_runtime: 30.6157
- eval_samples_per_second: 65.326
- eval_steps_per_second: 1.045
- epoch: 0.2717
- step: 17000
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 22000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0