Saketjaiswal746
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whisper-small-hi

Automatic Speech Recognition

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Whisper Small Hi - Saket

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.2887
Wer: 34.5552

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.083	2.4450	1000	0.2887	34.5552

Framework versions

Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0

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Safetensors

Model size

242M params

Tensor type

F32

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Automatic Speech Recognition

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Model tree for Saketjaiswal746/whisper-small-hi

Base model

openai/whisper-small

Finetuned

(1898)

this model

Dataset used to train Saketjaiswal746/whisper-small-hi

Evaluation results

Wer on Common Voice 11.0
self-reported

34.555

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