metadata

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

Whisper_SM_EN_GS

This model is a fine-tuned version of 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