C0_LID_DEV – AI Model by ntoldalagi | AlphaNeural AI

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ntoldalagi/
C0_LID_DEV

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C0_LID_DEV

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:

Loss: inf
Wer: 0.8267

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: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0.0	25	inf	0.8426
1.5354	0.17	2000	inf	0.8198
1.5688	0.33	4000	inf	0.8271
1.5294	0.5	6000	inf	0.8339
1.1947	0.67	8000	inf	0.8260
1.1534	0.83	10000	inf	0.8267
1.1484	1.0	12000	inf	0.8267

Framework versions

Transformers 4.11.3
Pytorch 1.10.2+cu113
Datasets 1.18.3
Tokenizers 0.10.3