---
license: apache-2.0
base_model: openai/whisper-tiny.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper4
  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. -->

# whisper4

This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the tiny dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5409
- Wer: 28.2719

## 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: 0.0001
- train_batch_size: 128
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 300

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 3.8231        | 0.2778 | 10   | 3.7088          | 76.9377 |
| 3.1925        | 0.5556 | 20   | 2.9439          | 65.5654 |
| 2.1383        | 0.8333 | 30   | 1.7221          | 61.5311 |
| 1.0671        | 1.1111 | 40   | 0.8320          | 50.6989 |
| 0.6947        | 1.3889 | 50   | 0.6587          | 41.0102 |
| 0.6263        | 1.6667 | 60   | 0.5874          | 29.7967 |
| 0.5827        | 1.9444 | 70   | 0.5402          | 27.3825 |
| 0.4222        | 2.2222 | 80   | 0.5154          | 32.0521 |
| 0.4065        | 2.5    | 90   | 0.4997          | 25.6989 |
| 0.3959        | 2.7778 | 100  | 0.4804          | 23.8247 |
| 0.3081        | 3.0556 | 110  | 0.4670          | 24.8412 |
| 0.2497        | 3.3333 | 120  | 0.4687          | 23.2846 |
| 0.2535        | 3.6111 | 130  | 0.4594          | 23.0940 |
| 0.2428        | 3.8889 | 140  | 0.4545          | 23.5070 |
| 0.1627        | 4.1667 | 150  | 0.4651          | 24.4917 |
| 0.1224        | 4.4444 | 160  | 0.4686          | 23.6976 |
| 0.1326        | 4.7222 | 170  | 0.4653          | 23.6976 |
| 0.1334        | 5.0    | 180  | 0.4741          | 24.7459 |
| 0.0659        | 5.2778 | 190  | 0.4792          | 24.6823 |
| 0.0639        | 5.5556 | 200  | 0.4760          | 33.3863 |
| 0.0667        | 5.8333 | 210  | 0.4820          | 25.4765 |
| 0.042         | 6.1111 | 220  | 0.4933          | 29.4155 |
| 0.0325        | 6.3889 | 230  | 0.5066          | 29.9873 |
| 0.0333        | 6.6667 | 240  | 0.5126          | 26.0801 |
| 0.0333        | 6.9444 | 250  | 0.5073          | 24.6188 |
| 0.0187        | 7.2222 | 260  | 0.5129          | 27.3507 |
| 0.0214        | 7.5    | 270  | 0.5209          | 28.2084 |
| 0.0187        | 7.7778 | 280  | 0.5213          | 29.3202 |
| 0.0312        | 8.0556 | 290  | 0.5274          | 34.6569 |
| 0.0172        | 8.3333 | 300  | 0.5409          | 28.2719 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1.dev0
- Tokenizers 0.19.1