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charaydes/
whisper-model-small3

Name: whisper-model-small3
Availability: InStock

automatic-speech-recognition

generated_from_trainer

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Whisper model - Rayyan

This model is a fine-tuned version of openai/whisper-small on the Brainhack 2024 ASR Dataset dataset. It achieves the following results on the evaluation set:

Loss: 0.0739
Wer: 3.1065

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
training_steps: 2000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0052	5.7143	1000	0.0548	3.3116
0.0001	11.4286	2000	0.0739	3.1065

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu118
Datasets 2.19.1
Tokenizers 0.19.1

charaydes/whisper-model-small3

Whisper model - Rayyan

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

charaydes/
whisper-model-small3