wav2vec2-base-timit-demo-colab12 – AI Model by sameearif88 | AlphaNeural AI

You can deploy this model and start earning money today!

sameearif88/
wav2vec2-base-timit-demo-colab12

like

0

automatic-speech-recognition

generated_from_trainer

endpoints_compatible

Views

No views yet

wav2vec2-base-timit-demo-colab12

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4831
Wer: 0.3546

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: 16
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: 420
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.1683	3.52	500	1.3684	0.7364
0.7614	7.04	1000	0.6008	0.5218
0.4721	10.56	1500	0.5319	0.4614
0.3376	14.08	2000	0.5234	0.4308
0.2508	17.61	2500	0.5109	0.3998
0.1978	21.13	3000	0.5037	0.3721
0.1645	24.65	3500	0.4918	0.3622
0.1449	28.17	4000	0.4831	0.3546

Framework versions

Transformers 4.11.3
Pytorch 1.11.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3