whisper-tiny-ar-ft-eos – AI Model by Ahmed107 | AlphaNeural AI

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Ahmed107/
whisper-tiny-ar-ft-eos

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audio-classification

generated_from_trainer

speech_commands

arbml/whisper-tiny-ar

endpoints_compatible

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whisper-tiny-ar-ft-kws-speech-commands

This model is a fine-tuned version of arbml/whisper-tiny-ar on the Speech Commands dataset. It achieves the following results on the evaluation set:

Loss: 1.8423
Accuracy: 0.5204

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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6826	1.0	1325	0.7084	0.4966
0.7052	2.0	2650	0.6965	0.5
0.7409	3.0	3975	0.6876	0.5510
0.7077	4.0	5300	0.7214	0.5170
0.7988	5.0	6625	0.7523	0.4898
0.5818	6.0	7950	0.8118	0.5510
0.7722	7.0	9275	0.9102	0.5306
1.4165	8.0	10600	1.6832	0.5
0.7113	9.0	11925	1.6268	0.5340
0.2578	10.0	13250	1.8423	0.5204

Framework versions

Transformers 4.48.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0