---
base_model: HariprasathSB/whisper_final
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper_final1
  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. -->

# whisper_final1

This model is a fine-tuned version of [HariprasathSB/whisper_final](https://huggingface.co/HariprasathSB/whisper_final) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9131
- Wer: 72.0667

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.0014        | 0.8772 | 100  | 0.9335          | 72.4138 |
| 0.0096        | 1.7544 | 200  | 0.9558          | 72.6937 |
| 0.0075        | 2.6316 | 300  | 0.9131          | 72.0667 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1