whisper-tiny-tamil – AI Model by JasHugF | AlphaNeural AI

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JasHugF/
whisper-tiny-tamil

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audio-classification

generated_from_trainer

openai/whisper-tiny

endpoints_compatible

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whisper-tiny-tamil

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

Loss: 0.6296
Accuracy: 0.7143

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 OptimizerNames.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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9817	1.0	55	1.0006	0.5714
0.894	2.0	110	0.8903	0.5714
0.7656	3.0	165	0.8475	0.7143
0.5697	4.0	220	0.7843	0.6429
0.8338	5.0	275	0.7055	0.6429
0.6986	6.0	330	0.7369	0.7143
0.5099	7.0	385	0.6787	0.7143
0.5774	8.0	440	0.6369	0.7143
0.7313	9.0	495	0.6106	0.7857
0.5775	10.0	550	0.6296	0.7143

Framework versions

Transformers 4.48.0.dev0
Pytorch 2.2.2
Datasets 3.2.0
Tokenizers 0.21.0