---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: fs-w-xavier-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-xavier-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: 0.4493
- Wer: 107.1700
- Cer: 86.3964

## 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     |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:-------:|
| 4.3581        | 4.5872  | 500  | 4.4334          | 98.1956  | 76.2625 |
| 1.7975        | 9.1743  | 1000 | 2.0190          | 106.9801 | 83.2016 |
| 0.7013        | 13.7615 | 1500 | 1.0136          | 109.8765 | 87.5816 |
| 0.4308        | 18.3486 | 2000 | 0.6682          | 107.5024 | 85.6235 |
| 0.3656        | 22.9358 | 2500 | 0.5726          | 107.5973 | 84.8677 |
| 0.3092        | 27.5229 | 3000 | 0.5117          | 106.7901 | 85.4775 |
| 0.2605        | 32.1101 | 3500 | 0.4788          | 104.1785 | 84.2580 |
| 0.236         | 36.6972 | 4000 | 0.4664          | 105.1757 | 84.8162 |
| 0.2298        | 41.2844 | 4500 | 0.4561          | 106.2678 | 85.5891 |
| 0.2007        | 45.8716 | 5000 | 0.4493          | 107.1700 | 86.3964 |


### Framework versions

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