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Vi-gec-wer – AI Model by Huyen2310 | AlphaNeural AI

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Huyen2310/
Vi-gec-wer

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text2text-generation

hf-asr-leaderboard

generated_from_trainer

text-generation-inference

endpoints_compatible

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HuyenNguyen

This model is a fine-tuned version of Huyen2310/Vi-gec on the FPT dataset.

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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2