---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper-Timit-fineT-16
  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-Timit-fineT-16

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: 0.1388
- Wer: 38.9999

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0356        | 1.73  | 500  | 0.0982          | 61.5030 |
| 0.0022        | 3.46  | 1000 | 0.1059          | 80.2039 |
| 0.0018        | 5.19  | 1500 | 0.1167          | 47.5479 |
| 0.0002        | 6.92  | 2000 | 0.1204          | 49.5247 |
| 0.0002        | 8.65  | 2500 | 0.1280          | 51.4465 |
| 0.0001        | 10.38 | 3000 | 0.1316          | 44.9029 |
| 0.0001        | 12.11 | 3500 | 0.1345          | 42.7538 |
| 0.0001        | 13.84 | 4000 | 0.1368          | 40.0744 |
| 0.0001        | 15.57 | 4500 | 0.1382          | 40.0813 |
| 0.0001        | 17.3  | 5000 | 0.1388          | 38.9999 |


### Framework versions

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