temp – AI Model by SasiVardhan | AlphaNeural AI

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Whisper Small Finetuned - SasiVardhan

This model is a fine-tuned version of openai/whisper-small on the minds 14 dataset. It achieves the following results on the evaluation set:

Loss: 0.7070

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: 50
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.9334	1.0	56	0.5490
0.3311	2.0	112	0.4733
0.1602	3.0	168	0.5424
0.0487	4.0	224	0.5561
0.0253	5.0	280	0.6136
0.0064	6.0	336	0.6719
0.0043	7.0	392	0.6661
0.0045	8.0	448	0.6927
0.0017	9.0	504	0.7012
0.0014	10.0	560	0.7070

Framework versions

PEFT 0.9.1.dev0
Transformers 4.39.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2