wav2vec2-large-xls-r-300m-sanitycheck – AI Model by shreyasgite | AlphaNeural AI

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wav2vec2-large-xls-r-300m-sanitycheck

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wav2vec2-large-xls-r-300m-sanitycheck

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: 0.0092
Accuracy: 1.0

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
num_epochs: 12
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.14	8	0.8034	0.4737
No log	2.29	16	0.6803	0.5263
No log	3.43	24	0.4867	1.0
0.5907	4.57	32	0.1781	0.9474
0.5907	5.71	40	0.2168	0.9474
0.5907	6.86	48	0.2403	0.9474
0.5907	8.0	56	0.0143	1.0
0.0932	9.14	64	0.0124	1.0
0.0932	10.29	72	0.0089	1.0
0.0932	11.43	80	0.0092	1.0

Framework versions

Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.17.0
Tokenizers 0.10.3