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inverse_gec – AI Model by mika5883 | AlphaNeural AI

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mika5883/
inverse_gec

like

0

text2text-generation

generated_from_trainer

mika5883/pretrain_rugec

text-generation-inference

endpoints_compatible

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inverse_gec

This model is a fine-tuned version of mika5883/pretrain_rugec on the None 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: 5e-05
train_batch_size: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2