---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Model_G_P
  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. -->

# Model_G_P

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4719
- Wer: 0.5613
- Cer: 0.2386

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- 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
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.447         | 4.17  | 400  | 2.1407          | 0.6004 | 0.2516 |
| 0.4338        | 8.33  | 800  | 2.1920          | 0.6033 | 0.2505 |
| 0.3209        | 12.5  | 1200 | 2.2978          | 0.6089 | 0.2601 |
| 0.2327        | 16.67 | 1600 | 2.3510          | 0.5871 | 0.2459 |
| 0.1735        | 20.83 | 2000 | 2.3828          | 0.5890 | 0.2480 |
| 0.1344        | 25.0  | 2400 | 2.3782          | 0.5647 | 0.2399 |
| 0.0909        | 29.17 | 2800 | 2.4719          | 0.5613 | 0.2386 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 1.18.3
- Tokenizers 0.13.3