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Vigec-V6 – AI Model by HuyenNguyen | AlphaNeural AI

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HuyenNguyen/
Vigec-V6

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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Vigec-V6

This model is a fine-tuned version of VietAI/vit5-base on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.1176
eval_bleu: 90.2995
eval_gen_len: 9.904
eval_runtime: 72.4913
eval_samples_per_second: 27.59
eval_steps_per_second: 3.449
epoch: 0.97
step: 40000

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: 16
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
training_steps: 100000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2