Checkpoint_zaloAI_11_19_2022

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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