Medical_base_en_1_1v – AI Model by Dev372 | AlphaNeural AI

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Dev372/
Medical_base_en_1_1v

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automatic-speech-recognition

generated_from_trainer

Dev372/Medical_STT_Dataset_1.1

openai/whisper-tiny.en

endpoints_compatible

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English Whisper Model

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

Loss: 0.1269
Wer: 6.2869

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: 18
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: 500
training_steps: 1100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.2361	0.2825	100	1.0425	10.4870
0.6631	0.5650	200	0.6451	9.4908
0.419	0.8475	300	0.3854	8.5535
0.1538	1.1299	400	0.1895	7.2635
0.1234	1.4124	500	0.1644	6.8454
0.1134	1.6949	600	0.1470	6.6201
0.1071	1.9774	700	0.1358	6.0289
0.0721	2.2599	800	0.1329	6.1302
0.0693	2.5424	900	0.1299	6.3065
0.0635	2.8249	1000	0.1275	6.5025
0.0441	3.1073	1100	0.1269	6.2869

Framework versions

Transformers 4.43.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1