fine-tuned-Whisper-Tiny-en-US – AI Model by ccourc23 | AlphaNeural AI

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ccourc23/
fine-tuned-Whisper-Tiny-en-US

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automatic-speech-recognition

generated_from_trainer

openai/whisper-tiny

endpoints_compatible

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fine-tuned-Whisper-Tiny-en-US

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

Loss: 0.7793
Wer Ortho: 0.3222
Wer: 0.3247

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 400
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.0014	17.24	500	0.5901	0.3210	0.3188
0.0003	34.48	1000	0.6579	0.3124	0.3142
0.0002	51.72	1500	0.6892	0.3143	0.3165
0.0001	68.97	2000	0.7129	0.3167	0.3194
0.0001	86.21	2500	0.7330	0.3179	0.3206
0.0	103.45	3000	0.7511	0.3191	0.3218
0.0	120.69	3500	0.7653	0.3179	0.3206
0.0	137.93	4000	0.7793	0.3222	0.3247

Framework versions

Transformers 4.39.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2