---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- model_eng
metrics:
- wer
model-index:
- name: VoiceMath-Tiny
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: model_eng
      type: model_eng
      config: default
      split: None
      args: default
    metrics:
    - name: Wer
      type: wer
      value: 9.442870632672333
---

<!-- 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. -->

# VoiceMath-Tiny

This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the model_eng dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0162
- Wer: 9.4429

## 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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 1.0   | 15   | 0.2506          | 15.9585 |
| No log        | 2.0   | 30   | 0.1447          | 13.9754 |
| No log        | 3.0   | 45   | 0.0945          | 11.4259 |
| No log        | 4.0   | 60   | 0.0657          | 11.7092 |
| No log        | 5.0   | 75   | 0.0480          | 11.4259 |
| No log        | 6.0   | 90   | 0.0322          | 9.9150  |
| No log        | 7.0   | 105  | 0.0243          | 10.1983 |
| No log        | 8.0   | 120  | 0.0196          | 9.2540  |
| No log        | 9.0   | 135  | 0.0171          | 9.4429  |
| No log        | 10.0  | 150  | 0.0162          | 9.4429  |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3