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whisper-tiny-es – AI Model by herme | AlphaNeural AI

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herme/
whisper-tiny-es

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automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_11_0

endpoints_compatible

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Whisper tiny Es - Sanchit Gandhi probando junio 23

This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 11.0 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: 1e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 100

Training results

Framework versions

Transformers 4.31.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.12.1.dev0
Tokenizers 0.13.3