---
license: apache-2.0
base_model: openai/whisper-tiny.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: abbenedekwhisper-tiny.en-finetuned-D3K
  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. -->

# abbenedekwhisper-tiny.en-finetuned-D3K

This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7482
- Cer: 20.4786
- Wer: 36.7550
- Ser: 32.4561

## 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-06
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40
- training_steps: 400
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     | Wer     | Ser     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|
| 6.5477        | 0.21  | 20   | 6.1679          | 28.8815 | 65.5629 | 47.3684 |
| 5.8649        | 0.43  | 40   | 5.1645          | 26.6555 | 59.6026 | 42.1053 |
| 4.4955        | 0.64  | 60   | 3.9916          | 28.6032 | 57.6159 | 40.3509 |
| 3.2461        | 0.85  | 80   | 3.0695          | 25.2087 | 49.0066 | 35.0877 |
| 2.464         | 1.06  | 100  | 2.4087          | 22.6489 | 42.0530 | 33.3333 |
| 2.0699        | 1.28  | 120  | 2.1494          | 22.7045 | 40.0662 | 32.4561 |
| 1.9909        | 1.49  | 140  | 2.0336          | 22.5932 | 39.0728 | 32.4561 |
| 1.8902        | 1.7   | 160  | 1.9646          | 21.5915 | 38.0795 | 33.3333 |
| 1.8438        | 1.91  | 180  | 1.9208          | 23.0384 | 38.7417 | 34.2105 |
| 1.7684        | 2.13  | 200  | 1.8850          | 22.2037 | 38.4106 | 34.2105 |
| 1.729         | 2.34  | 220  | 1.8487          | 21.9254 | 37.4172 | 33.3333 |
| 1.6901        | 2.55  | 240  | 1.8251          | 21.9254 | 37.0861 | 32.4561 |
| 1.7107        | 2.77  | 260  | 1.8077          | 21.9811 | 37.7483 | 33.3333 |
| 1.665         | 2.98  | 280  | 1.7931          | 22.0924 | 39.4040 | 34.2105 |
| 1.6214        | 3.19  | 300  | 1.7799          | 22.0924 | 39.4040 | 34.2105 |
| 1.6124        | 3.4   | 320  | 1.7692          | 21.2020 | 37.4172 | 33.3333 |
| 1.6064        | 3.62  | 340  | 1.7602          | 21.2020 | 37.4172 | 33.3333 |
| 1.6154        | 3.83  | 360  | 1.7538          | 20.4786 | 36.7550 | 32.4561 |
| 1.6167        | 4.04  | 380  | 1.7497          | 20.4786 | 36.7550 | 32.4561 |
| 1.5972        | 4.26  | 400  | 1.7482          | 20.4786 | 36.7550 | 32.4561 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.14.5
- Tokenizers 0.15.2