---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: eval_transliterated
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# eval_transliterated

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.2188
- eval_model_preparation_time: 0.0054
- eval_cer: 0.3354
- eval_wer: 0.4724
- eval_runtime: 31.1696
- eval_samples_per_second: 18.351
- eval_steps_per_second: 1.155
- step: 0

## 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: 0.0006
- train_batch_size: 16
- eval_batch_size: 16
- seed: 300
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.20.1