wav2vec2-large-xlsr-53_toy_train_data_random_low_pass – AI Model by scasutt | AlphaNeural AI

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wav2vec2-large-xlsr-53_toy_train_data_random_low_pass

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wav2vec2-large-xlsr-53_toy_train_data_random_low_pass

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6572
Wer: 0.4973

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.0834	2.1	500	3.4478	1.0
1.0735	4.2	1000	0.9113	0.7815
0.5516	6.3	1500	0.7035	0.6081
0.4023	8.4	2000	0.6647	0.5649
0.3423	10.5	2500	0.6613	0.5450
0.2938	12.6	3000	0.6967	0.5318
0.2902	14.7	3500	0.6430	0.5089
0.2372	16.81	4000	0.6653	0.5045
0.2148	18.91	4500	0.6572	0.4973

Framework versions

Transformers 4.17.0
Pytorch 1.11.0+cu102
Datasets 2.0.0
Tokenizers 0.12.0