---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper-Small-TF-TIMIT-FLEUR
  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. -->

# Whisper-Small-TF-TIMIT-FLEUR

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8885
- Wer: 35.0461

## 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: 6.25e-06
- 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: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4965        | 1.27  | 500  | 0.9304          | 37.3857 |
| 0.1668        | 2.54  | 1000 | 0.8561          | 32.7384 |
| 0.069         | 3.81  | 1500 | 0.8093          | 52.7441 |
| 0.0152        | 5.08  | 2000 | 0.9021          | 54.9437 |
| 0.0083        | 6.35  | 2500 | 0.8471          | 57.3611 |
| 0.0021        | 7.61  | 3000 | 0.8885          | 35.0461 |


### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2