4320-whisper-small-eng-0.03train-partial – AI Model by JerryLearnCode | AlphaNeural AI

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JerryLearnCode/
4320-whisper-small-eng-0.03train-partial

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automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_13_0

openai/whisper-small

endpoints_compatible

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Whisper Small Finetune - IERG4320 Project

This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset. It achieves the following results on the evaluation set:

Loss: 0.4611
Wer Ortho: 21.8030
Wer: 17.7395

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: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.3126	1.0	236	0.3930	20.1118	16.6297
0.2087	2.0	472	0.3943	20.3481	16.7697
0.1397	3.0	708	0.4087	20.5047	16.7103
0.088	4.0	944	0.4326	21.4326	17.3934
0.0491	5.0	1180	0.4611	21.8030	17.7395

Framework versions

Transformers 4.46.3
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.4