---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- timit_asr
model-index:
- name: timit-ft
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# timit-ft

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the timit_asr dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.7722
- eval_wer: 7.1566
- eval_runtime: 335.4678
- eval_samples_per_second: 5.008
- eval_steps_per_second: 0.158
- step: 0

## 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-06
- train_batch_size: 64
- eval_batch_size: 32
- 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

### Framework versions

- Transformers 4.39.3
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2