msc_imasc_openslr_festfox_Whisper_Medium_2_increased_learning – AI Model by Bajiyo | AlphaNeural AI

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msc_imasc_openslr_festfox_Whisper_Medium_2_increased_learning

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automatic-speech-recognition

generated_from_trainer

openai/whisper-medium

endpoints_compatible

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msc_imasc_openslr_festfox_Whisper_Medium_2_increased_learning

This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0293
Wer: 13.7099

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: 3e-05
train_batch_size: 16
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: 1000
training_steps: 6000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0595	0.4	1000	0.1031	45.0858
0.0357	0.79	2000	0.0648	31.0774
0.0189	1.19	3000	0.0454	23.8119
0.0137	1.58	4000	0.0356	18.2632
0.0086	1.98	5000	0.0308	15.7751
0.0031	2.37	6000	0.0293	13.7099

Framework versions

Transformers 4.37.2
Pytorch 2.1.1+cu121
Datasets 2.16.1
Tokenizers 0.15.1