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

# fs-w-he-tiny-en

This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7192
- Wer: 173.9316
- Cer: 146.1783

## 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: 16
- 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: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer      | Cer      |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|
| 10.4685       | 4.5872  | 500  | 10.1251         | 536.1823 | 471.2470 |
| 3.0813        | 9.1743  | 1000 | 3.6378          | 239.3162 | 199.3988 |
| 1.4313        | 13.7615 | 1500 | 2.4350          | 250.0    | 207.9268 |
| 0.6499        | 18.3486 | 2000 | 1.9427          | 376.7331 | 318.6104 |
| 0.336         | 22.9358 | 2500 | 1.9422          | 245.7265 | 195.3538 |
| 0.0683        | 27.5229 | 3000 | 2.2195          | 265.3846 | 224.6908 |
| 0.0104        | 32.1101 | 3500 | 2.3854          | 177.7778 | 148.1621 |
| 0.0013        | 36.6972 | 4000 | 2.6033          | 175.7360 | 158.7513 |
| 0.0003        | 41.2844 | 4500 | 2.6985          | 155.6030 | 127.8169 |
| 0.0002        | 45.8716 | 5000 | 2.7192          | 173.9316 | 146.1783 |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0