---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- lyhourt/clean_2
model-index:
- name: whisper-small-clean_2-400
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-small-clean_2-400

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the lyhourt/clean_2 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0173
- eval_wer: 2.3162
- eval_runtime: 634.7882
- eval_samples_per_second: 2.721
- eval_steps_per_second: 0.085
- epoch: 1.1425
- step: 300

## 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: 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: 50
- training_steps: 400
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1