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

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wav2vec2-large-xlsr-53_toy_train_fast_masked_augment_random_noise_slow_fast

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wav2vec2-large-xlsr-53_toy_train_fast_masked_augment_random_noise_slow_fast

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: 0.4007
Wer: 0.3785

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
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: 1000
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.0535	1.2	500	3.3994	0.9954
1.1495	2.4	1000	0.6490	0.7155
0.7148	3.6	1500	0.3812	0.4690
0.5305	4.8	2000	0.3529	0.4373
0.475	6.0	2500	0.3616	0.4123
0.3772	7.19	3000	0.3823	0.4074
0.3632	8.39	3500	0.3665	0.3929
0.3579	9.59	4000	0.3838	0.3917
0.3386	10.79	4500	0.3888	0.3839
0.3193	11.99	5000	0.3872	0.3757
0.2976	13.19	5500	0.3986	0.3785
0.2915	14.39	6000	0.4007	0.3785

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu102
Datasets 2.1.0
Tokenizers 0.12.1