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

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: 0.4490
- Wer: 106.9801
- Cer: 82.1968

## 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     |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:-------:|
| 4.2145        | 4.5872  | 500  | 4.2399          | 95.4891  | 77.5678 |
| 1.4437        | 9.1743  | 1000 | 1.6923          | 107.8348 | 86.0529 |
| 0.5423        | 13.7615 | 1500 | 0.8639          | 109.7341 | 86.0014 |
| 0.3798        | 18.3486 | 2000 | 0.6183          | 106.5052 | 85.3830 |
| 0.3301        | 22.9358 | 2500 | 0.5421          | 114.9098 | 92.5713 |
| 0.2883        | 27.5229 | 3000 | 0.4921          | 100.9022 | 76.8722 |
| 0.2381        | 32.1101 | 3500 | 0.4725          | 108.4520 | 85.7953 |
| 0.2115        | 36.6972 | 4000 | 0.4611          | 103.2289 | 79.1996 |
| 0.1983        | 41.2844 | 4500 | 0.4507          | 104.8908 | 81.3037 |
| 0.1668        | 45.8716 | 5000 | 0.4490          | 106.9801 | 82.1968 |


### Framework versions

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