wav2vec2-xls-r-timit-tokenizer-base – AI Model by hrdipto | AlphaNeural AI

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hrdipto/
wav2vec2-xls-r-timit-tokenizer-base

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wav2vec2-xls-r-timit-tokenizer-base

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

Loss: 3.0828
Wer: 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: 0.0003
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: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.3134	4.03	500	3.0814	1.0
2.9668	8.06	1000	3.0437	1.0
2.9604	12.1	1500	3.0337	1.0
2.9619	16.13	2000	3.0487	1.0
2.9588	20.16	2500	3.0859	1.0
2.957	24.19	3000	3.0921	1.0
2.9555	28.22	3500	3.0828	1.0

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.13.3
Tokenizers 0.10.3