working – AI Model by Thienpkae | AlphaNeural AI

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Thienpkae/
working

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automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

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working

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

Loss: 0.7102
Wer: 0.4126

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
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.3485	2.0	292	3.7183	1.0
3.4479	4.0	584	3.5977	1.0
2.948	6.0	876	1.7093	0.8420
1.2556	8.0	1168	1.0140	0.5846
0.9216	10.0	1460	0.8558	0.5142
0.7769	12.0	1752	0.7731	0.4643
0.6968	14.0	2044	0.7458	0.4394
0.6813	16.0	2336	0.7549	0.4385
0.5996	18.0	2628	0.7186	0.4128
0.572	20.0	2920	0.7102	0.4126

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1