---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: training_45k
  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. -->

# training_45k

This model is a fine-tuned version of [Sameen53/cv_bn_bestModel_1](https://huggingface.co/Sameen53/cv_bn_bestModel_1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.1497

## 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-07
- 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: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2549        | 1.25  | 1500 | inf             | 0.1495 |
| 0.2482        | 2.51  | 3000 | inf             | 0.1496 |
| 0.2504        | 3.76  | 4500 | inf             | 0.1498 |
| 0.2479        | 5.02  | 6000 | inf             | 0.1495 |
| 0.2493        | 6.27  | 7500 | inf             | 0.1497 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.12.1