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t5-large-finetuned-multi – AI Model by yeye776 | AlphaNeural AI

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yeye776/
t5-large-finetuned-multi

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text2text-generation

generated_from_trainer

paust/pko-t5-large

text-generation-inference

endpoints_compatible

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t5-large-finetuned-multi

This model is a fine-tuned version of paust/pko-t5-large 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: 0.0007
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.06
num_epochs: 8

Training results

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1