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ASR_Phimtailieu_WithLM – AI Model by nqhuy | AlphaNeural AI

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nqhuy/
ASR_Phimtailieu_WithLM

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automatic-speech-recognition

generated_from_trainer

endpoints_compatible

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ASR_Phimtailieu_WithLM

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.5235
eval_wer: 0.2531
eval_runtime: 570.9035
eval_samples_per_second: 15.467
eval_steps_per_second: 1.934
epoch: 2.58
step: 39000

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: 4.42184e-05
train_batch_size: 4
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: 500
num_epochs: 25
mixed_precision_training: Native AMP

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1