wav2vec2-base-1 – AI Model by jiobiala24 | AlphaNeural AI

You can deploy this model and start earning money today!

jiobiala24/
wav2vec2-base-1

like

0

automatic-speech-recognition

generated_from_trainer

endpoints_compatible

Views

No views yet

wav2vec2-base-1

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

Loss: 0.9254
Wer: 0.3216

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.6597	2.2	1000	0.8904	0.5388
0.4751	4.41	2000	0.7009	0.3976
0.3307	6.61	3000	0.7068	0.3672
0.2574	8.81	4000	0.7320	0.3544
0.2096	11.01	5000	0.7803	0.3418
0.177	13.22	6000	0.7768	0.3423
0.1521	15.42	7000	0.8113	0.3375
0.1338	17.62	8000	0.8153	0.3325
0.1168	19.82	9000	0.8851	0.3306
0.104	22.03	10000	0.8811	0.3277
0.0916	24.23	11000	0.8722	0.3254
0.083	26.43	12000	0.9527	0.3265
0.0766	28.63	13000	0.9254	0.3216

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.13.3
Tokenizers 0.10.3