m16_main – AI Model by Sjdan | AlphaNeural AI

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m16_main

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m16_main

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0731
Wer: 1.6114

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 7
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
9.4932	0.96	500	3.4413	1.0
2.6724	1.92	1000	1.8081	2.5404
1.1058	2.88	1500	0.3228	2.0631
0.3056	3.84	2000	0.1657	1.8225
0.1465	4.8	2500	0.1068	1.6588
0.0925	5.76	3000	0.0892	1.6331
0.0669	6.72	3500	0.0731	1.6114

Framework versions

Transformers 4.17.0
Pytorch 1.13.1+cu116
Datasets 1.18.3
Tokenizers 0.13.2