metadata
base_model: Ransaka/sinhala-ocr-model
tags:
- generated_from_trainer
model-index:
- name: sinhala-ocr-model-v2
results: []
sinhala-ocr-model-v2
This model is a fine-tuned version of Ransaka/sinhala-ocr-model on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 4.8494
- eval_cer: 0.4227
- eval_runtime: 229.7041
- eval_samples_per_second: 1.776
- eval_steps_per_second: 0.444
- epoch: 5.23
- step: 400
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 6000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.16.0
- Tokenizers 0.15.0