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

# results

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: 0.0893
- Wer: 0.0991

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 500
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.9767        | 1.0   | 7    | 0.4806          | 0.2243 |
| 0.3635        | 2.0   | 14   | 0.2216          | 0.1310 |
| 0.1596        | 3.0   | 21   | 0.1460          | 0.1016 |
| 0.076         | 4.0   | 28   | 0.1198          | 0.0915 |
| 0.0405        | 5.0   | 35   | 0.1142          | 0.0906 |
| 0.0262        | 6.0   | 42   | 0.1034          | 0.0901 |
| 0.0151        | 7.0   | 49   | 0.0965          | 0.1019 |
| 0.0083        | 8.0   | 56   | 0.0924          | 0.0963 |
| 0.0043        | 9.0   | 63   | 0.0899          | 0.0991 |
| 0.0023        | 10.0  | 70   | 0.0902          | 0.1019 |
| 0.0014        | 11.0  | 77   | 0.0924          | 0.1046 |
| 0.0012        | 12.0  | 84   | 0.0923          | 0.1040 |
| 0.0009        | 13.0  | 91   | 0.0915          | 0.1040 |
| 0.0008        | 14.0  | 98   | 0.0907          | 0.1040 |
| 0.0007        | 15.0  | 105  | 0.0904          | 0.0957 |
| 0.0007        | 16.0  | 112  | 0.0888          | 0.0957 |
| 0.0006        | 17.0  | 119  | 0.0900          | 0.0957 |
| 0.0006        | 18.0  | 126  | 0.0895          | 0.0957 |
| 0.0005        | 19.0  | 133  | 0.0894          | 0.0991 |
| 0.0006        | 20.0  | 140  | 0.0893          | 0.0991 |


### Framework versions

- Transformers 4.50.2
- Pytorch 2.4.0+cu121
- Datasets 3.4.1
- Tokenizers 0.21.0