---
language:
- en
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- openai/whisper-small
metrics:
- wer
model-index:
- name: Whisper Small fine tuned with comms
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: BrainHack ASR Test Two
      type: openai/whisper-small
    metrics:
    - name: Wer
      type: wer
      value: 0.03260869565217391
---

<!-- 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 Small fine tuned with comms

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the BrainHack ASR Test Two dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2141
- Wer: 0.0326

## 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: 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: 10
- training_steps: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 0.0059        | 13.3333 | 20   | 0.1429          | 0.0380 |
| 0.0003        | 26.6667 | 40   | 0.2095          | 0.0380 |
| 0.0001        | 40.0    | 60   | 0.2166          | 0.0326 |
| 0.0001        | 53.3333 | 80   | 0.2154          | 0.0326 |
| 0.0001        | 66.6667 | 100  | 0.2141          | 0.0326 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1