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---
language:
- en
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- speechcolab/gigaspeech
model-index:
- name: Whisper_SM_EN_GS
  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_SM_EN_GS

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the gigaspeech dataset.

## 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: 5e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 9
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 40

### Training results



### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.13.0
- Tokenizers 0.13.3