---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- PolyAI/minds14
metrics:
- wer
model-index:
- name: michaelsh/whisper-tiny-minds-v5-numproc1
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: PolyAI/minds14
      type: PolyAI/minds14
      config: en-US
      split: train
      args: en-US
    metrics:
    - name: Wer
      type: wer
      value: 0.36609955891619406
---

<!-- 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. -->

# michaelsh/whisper-tiny-minds-v5-numproc1

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6160
- Wer Ortho: 0.3635
- Wer: 0.3661

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
| 3.1128        | 1.0   | 29   | 1.5110          | 0.8028    | 0.7574 |
| 0.6583        | 2.0   | 58   | 0.5695          | 0.4347    | 0.4316 |
| 0.3271        | 3.0   | 87   | 0.5171          | 0.3945    | 0.3913 |
| 0.2003        | 4.0   | 116  | 0.5165          | 0.3912    | 0.3907 |
| 0.1189        | 5.0   | 145  | 0.5296          | 0.3819    | 0.3825 |
| 0.0623        | 6.0   | 174  | 0.5532          | 0.3747    | 0.3737 |
| 0.0326        | 7.0   | 203  | 0.5614          | 0.3865    | 0.3882 |
| 0.0149        | 8.0   | 232  | 0.6009          | 0.3628    | 0.3655 |
| 0.0093        | 9.0   | 261  | 0.6024          | 0.3707    | 0.3762 |
| 0.0038        | 10.0  | 290  | 0.6160          | 0.3635    | 0.3661 |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3