wav2vec2-base-vios-google-colab – AI Model by tclong | AlphaNeural AI

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wav2vec2-base-vios-google-colab

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wav2vec2-base-vios-google-colab

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: 0.5647
Wer: 0.4970

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: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
7.7292	2.0	500	3.4159	1.0
3.0762	4.0	1000	1.3005	0.9615
0.8812	6.0	1500	0.4664	0.4740
0.5076	8.0	2000	0.4101	0.4180
0.4075	10.0	2500	0.3815	0.3802
0.3724	12.0	3000	0.3785	0.3741
0.3762	14.0	3500	0.4404	0.3766
0.4541	16.0	4000	0.4671	0.3822
0.6391	18.0	4500	0.5643	0.4200
0.7681	20.0	5000	0.6564	0.5214
0.8131	22.0	5500	0.5786	0.4934
0.7448	24.0	6000	0.5561	0.4920
0.7337	26.0	6500	0.5631	0.4964
0.7359	28.0	7000	0.5647	0.4968
0.7397	30.0	7500	0.5647	0.4970

Framework versions

Transformers 4.17.0
Pytorch 1.11.0+cu113
Datasets 1.18.3
Tokenizers 0.12.1