---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-en
  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. -->

# whisper-tiny-en

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5089
- Wer: 31.4721

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- 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: 200
- training_steps: 1000

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.4475        | 10.53  | 100  | 0.6788          | 20.5584 |
| 0.0166        | 21.05  | 200  | 0.4262          | 19.2893 |
| 0.0005        | 31.58  | 300  | 0.4534          | 22.8426 |
| 0.0003        | 42.11  | 400  | 0.4673          | 68.7817 |
| 0.0002        | 52.63  | 500  | 0.4806          | 72.5888 |
| 0.0002        | 63.16  | 600  | 0.4908          | 72.3350 |
| 0.0001        | 73.68  | 700  | 0.4987          | 31.4721 |
| 0.0001        | 84.21  | 800  | 0.5045          | 31.4721 |
| 0.0001        | 94.74  | 900  | 0.5078          | 31.4721 |
| 0.0001        | 105.26 | 1000 | 0.5089          | 31.4721 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1