---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: subhadeep_whisper_small_finetune_teacher_no_noise_libri_360_hours_100_epochs_batch_8
  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. -->

# subhadeep_whisper_small_finetune_teacher_no_noise_libri_360_hours_100_epochs_batch_8

This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1135
- Wer: 9.0383

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 256
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.5483        | 0.98  | 100  | 0.1273          | 9.9482 |
| 0.0795        | 1.97  | 200  | 0.0815          | 8.6467 |
| 0.0415        | 2.96  | 300  | 0.0788          | 8.3986 |
| 0.0257        | 3.95  | 400  | 0.0849          | 8.3857 |
| 0.0325        | 4.95  | 500  | 0.0993          | 8.8471 |
| 0.0219        | 5.94  | 600  | 0.0951          | 8.7350 |
| 0.018         | 6.93  | 700  | 0.0952          | 8.7000 |
| 0.0159        | 7.92  | 800  | 0.1098          | 8.7901 |
| 0.017         | 8.91  | 900  | 0.1135          | 9.0383 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.8.0
- Tokenizers 0.13.2