whisper-small-ft-malay-peft-v1 – AI Model by clt013 | AlphaNeural AI

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clt013/
whisper-small-ft-malay-peft-v1

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clt013/malay-speech-3k-rows-dataset_v2

openai/whisper-small

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Whisper Small FT Malay - CLT013

This model is a fine-tuned version of openai/whisper-small on the Malay Speech 3k dataset. It achieves the following results on the evaluation set:

Loss: 0.6336

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: 0.001
train_batch_size: 8
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: 100
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.1001	0.3731	100	0.8407
0.7305	0.7463	200	0.7879
0.615	1.1194	300	0.7401
0.4364	1.4925	400	0.7126
0.3951	1.8657	500	0.6772
0.2428	2.2388	600	0.6649
0.185	2.6119	700	0.6426
0.1781	2.9851	800	0.6336

Framework versions

PEFT 0.13.1.dev0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1