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Checkpoint_zaloAI_11_19_2022 – AI Model by hungngocphat01 | AlphaNeural AI

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hungngocphat01/
Checkpoint_zaloAI_11_19_2022

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automatic-speech-recognition

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Checkpoint_zaloAI_11_19_2022

This model is a fine-tuned version of nguyenvulebinh/wav2vec2-base-vietnamese-250h on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 1.3926
eval_wer: 0.6743
eval_runtime: 23.1283
eval_samples_per_second: 39.865
eval_steps_per_second: 5.016
epoch: 25.07
step: 26000

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: 30
mixed_precision_training: Native AMP

Framework versions

Transformers 4.17.0
Pytorch 1.12.1+cu113
Datasets 2.7.0
Tokenizers 0.13.2