---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: subhadeep_whisper_small_finetune_teacher_no_noise_libri_100_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_100_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: 0.3422
- Wer: 15.6961

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.3854        | 3.68  | 100  | 0.1916          | 12.3782 |
| 0.0214        | 7.39  | 200  | 0.2210          | 12.6356 |
| 0.0209        | 11.11 | 300  | 0.2540          | 13.5455 |
| 0.0698        | 14.79 | 400  | 0.2788          | 13.9829 |
| 0.0206        | 18.5  | 500  | 0.3106          | 14.8156 |
| 0.0236        | 22.22 | 600  | 0.3422          | 15.6961 |


### Framework versions

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