---
base_model: outputs/checkpoint-11500
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Regional_BnASR
  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. -->

# Regional_BnASR

This model is a fine-tuned version of [outputs/checkpoint-11500](https://huggingface.co/outputs/checkpoint-11500) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8498
- Wer: 0.7432

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- training_steps: 20000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 2.4681        | 1.25  | 500   | 9.8862          | 0.9367 |
| 2.0154        | 2.51  | 1000  | 9.1645          | 0.9174 |
| 1.9749        | 3.76  | 1500  | 7.8777          | 0.8787 |
| 1.9293        | 5.02  | 2000  | 8.7211          | 0.8949 |
| 1.8588        | 6.27  | 2500  | 8.5633          | 0.8851 |
| 1.8637        | 7.52  | 3000  | 8.9099          | 0.8895 |
| 1.7904        | 8.79  | 3500  | 8.5780          | 0.8846 |
| 1.8647        | 10.04 | 4000  | 8.9881          | 0.8900 |
| 1.8229        | 11.3  | 4500  | 8.6372          | 0.8818 |
| 1.8365        | 12.56 | 5000  | 8.5890          | 0.8793 |
| 1.7912        | 13.81 | 5500  | 8.6685          | 0.8809 |
| 1.792         | 15.07 | 6000  | 8.6862          | 0.8796 |
| 1.7924        | 16.33 | 6500  | 8.5065          | 0.8763 |
| 1.7685        | 17.58 | 7000  | 8.8943          | 0.8840 |
| 1.8004        | 18.84 | 7500  | 9.0298          | 0.8861 |
| 1.7792        | 20.09 | 8000  | 8.8783          | 0.8818 |
| 1.7749        | 21.35 | 8500  | 8.8410          | 0.8811 |
| 1.8002        | 22.61 | 9000  | 8.8083          | 0.8804 |
| 1.7496        | 23.86 | 9500  | 8.8536          | 0.8815 |
| 1.7625        | 25.12 | 10000 | 8.8653          | 0.8816 |
| 1.7468        | 26.38 | 10500 | 8.8854          | 0.8826 |
| 1.7533        | 27.63 | 11000 | 8.8604          | 0.8799 |
| 1.7507        | 28.89 | 11500 | 8.6150          | 0.8743 |
| 1.766         | 30.14 | 12000 | 9.2126          | 0.8894 |
| 1.7641        | 31.39 | 12500 | 8.7537          | 0.8770 |
| 1.7673        | 32.65 | 13000 | 8.7769          | 0.8764 |
| 1.7281        | 33.92 | 13500 | 8.8294          | 0.8767 |
| 1.7315        | 35.17 | 14000 | 9.0875          | 0.8827 |
| 1.7271        | 36.42 | 14500 | 9.0619          | 0.8826 |
| 1.8015        | 52.26 | 15000 | 2.8379          | 0.7426 |
| 1.8405        | 54.0  | 15500 | 2.8486          | 0.7434 |
| 1.8206        | 55.73 | 16000 | 2.8677          | 0.7445 |
| 1.8401        | 57.47 | 16500 | 2.8111          | 0.7418 |
| 1.781         | 59.21 | 17000 | 2.8444          | 0.7430 |
| 1.7892        | 60.95 | 17500 | 2.8829          | 0.7445 |
| 1.8344        | 62.68 | 18000 | 2.8498          | 0.7432 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0