whisper-tiny-en – AI Model by Jonnhan | AlphaNeural AI

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whisper-tiny-en

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openai/whisper-tiny

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whisper-tiny-en

This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:

Loss: 0.5603
Wer Ortho: 0.2844
Wer: 0.2910

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 2225
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.5396	1.0	445	0.4247	0.3387	0.3394
0.2289	2.0	890	0.4628	0.2961	0.3017
0.1448	3.0	1335	0.4680	0.2819	0.2869
0.0405	4.0	1780	0.5402	0.3029	0.3052
0.0092	5.0	2225	0.5603	0.2844	0.2910

Framework versions

Transformers 4.44.0
Pytorch 2.1.1+cu118
Datasets 2.20.0
Tokenizers 0.19.1