---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tindy-aug-29dec
  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-tindy-aug-29dec

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2599
- Wer: 86.0590

## 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: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3988        | 1.0   | 382  | 1.1534          | 102.0613 |
| 0.8626        | 2.0   | 764  | 0.6005          | 103.0809 |
| 0.5328        | 3.0   | 1146 | 0.4433          | 97.7146  |
| 0.4241        | 4.0   | 1528 | 0.3774          | 95.2402  |
| 0.3659        | 5.0   | 1910 | 0.3395          | 93.0998  |
| 0.3262        | 6.0   | 2292 | 0.3133          | 92.2867  |
| 0.2979        | 7.0   | 2674 | 0.2935          | 89.7332  |
| 0.2736        | 8.0   | 3056 | 0.2797          | 89.9925  |
| 0.2562        | 9.0   | 3438 | 0.2681          | 87.9532  |
| 0.2395        | 10.0  | 3820 | 0.2599          | 86.0590  |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.0
- Datasets 3.2.0
- Tokenizers 0.20.3