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rishabhjain16/
whisper_tiny_to_myst55h

Name: whisper_tiny_to_myst55h
Availability: InStock

automatic-speech-recognition

generated_from_trainer

apache-2.0

model-index

endpoints_compatible

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openai/whisper-tiny

This model is a fine-tuned version of openai/whisper-tiny on the MyST(55 hours) dataset. It achieves the following results on the evaluation set (MyST 10 hours):

Loss: 0.5675
Wer: 20.2661

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: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3752	4.02	1000	0.4264	20.9318
0.2349	8.04	2000	0.4460	19.5872
0.095	13.01	3000	0.5086	20.6995
0.0416	17.02	4000	0.5504	20.7856
0.0339	21.04	5000	0.5675	20.2661

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.9.1.dev0
Tokenizers 0.13.2

rishabhjain16/whisper_tiny_to_myst55h

openai/whisper-tiny

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rishabhjain16/
whisper_tiny_to_myst55h