wav2vec2-large-medical-speed – AI Model by srujan00123 | AlphaNeural AI

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srujan00123/
wav2vec2-large-medical-speed

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automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-large

endpoints_compatible

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wav2vec2-large-medical-speed

This model is a fine-tuned version of facebook/wav2vec2-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4703
Wer: 0.1992

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: 0.0001
train_batch_size: 32
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
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.9919	3.97	500	3.0791	0.9895
1.6651	7.94	1000	0.5613	0.4259
0.4694	11.9	1500	0.4658	0.2835
0.2812	15.87	2000	0.5245	0.2460
0.1923	19.84	2500	0.4438	0.2300
0.1406	23.81	3000	0.5112	0.2121
0.1082	27.78	3500	0.4703	0.1992

Framework versions

Transformers 4.34.1
Pytorch 2.1.0
Datasets 2.14.6
Tokenizers 0.14.1