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base – AI Model by lynguyenminh | AlphaNeural AI

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lynguyenminh/
base

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automatic-speech-recognition

generated_from_trainer

nguyenminhly/base

endpoints_compatible

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base

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

eval_loss: 0.2759
eval_wer: 0.1653
eval_runtime: 16.3191
eval_samples_per_second: 22.979
eval_steps_per_second: 2.88
epoch: 1.69
step: 1500

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: 50

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3