wav2vec2-base-lang-id – AI Model by zhujlfine | AlphaNeural AI

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zhujlfine/
wav2vec2-base-lang-id

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audio-classification

generated_from_trainer

common_language

endpoints_compatible

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wav2vec2-base-lang-id

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

Loss: 1.6572
Accuracy: 0.5802

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: 3e-05
train_batch_size: 32
eval_batch_size: 4
seed: 0
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.5548	1.0	173	3.6911	0.0659
2.9779	2.0	346	3.0769	0.2024
2.4706	3.0	519	2.6689	0.2964
2.0118	4.0	692	2.3199	0.4234
1.6745	5.0	865	2.1130	0.4650
1.3753	6.0	1038	1.9451	0.5156
1.1559	7.0	1211	1.8114	0.5442
1.0208	8.0	1384	1.7058	0.5652
0.9342	9.0	1557	1.6644	0.5759
0.9008	10.0	1730	1.6572	0.5802

Framework versions

Transformers 4.23.1
Pytorch 1.11.0+cu113
Datasets 2.6.1
Tokenizers 0.12.1