fineturning-medical_data – AI Model by Aviral2412 | AlphaNeural AI

You can deploy this model and start earning money today!

Aviral2412/
fineturning-medical_data

like

0

automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

Views

No views yet

fineturning-medical_data

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

Loss: 0.3803
Wer: 0.2026

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 35
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.5432	5.08	500	0.5657	0.3742
0.3691	10.15	1000	0.4064	0.2665
0.2045	15.23	1500	0.4500	0.2437
0.1385	20.3	2000	0.4261	0.2285
0.1028	25.38	2500	0.3828	0.2093
0.0696	30.46	3000	0.3803	0.2026

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2