---
license: apache-2.0
base_model: Rounak28/bengaliAI-whisper-medium-finetuned-0-50000
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: bengaliAI-whisper-medium-finetuned-0-50000
  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. -->

# bengaliAI-whisper-medium-finetuned-0-50000

This model is a fine-tuned version of [Rounak28/bengaliAI-whisper-medium-finetuned-0-50000](https://huggingface.co/Rounak28/bengaliAI-whisper-medium-finetuned-0-50000) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2728
- Wer: 100.0

## 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: 8.000000000000001e-06
- train_batch_size: 4
- eval_batch_size: 8
- 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
- lr_scheduler_warmup_steps: 50
- training_steps: 900

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer   |
|:-------------:|:-----:|:----:|:---------------:|:-----:|
| 0.4922        | 1.0   | 300  | 0.2527          | 100.0 |
| 0.9014        | 1.0   | 600  | 0.2895          | 100.0 |
| 0.4534        | 1.0   | 900  | 0.2728          | 100.0 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3