epreep
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summarization-finetuned

text2text-generation

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text-generation-inference

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summarization-finetuned

This model is a fine-tuned version of eenzeenee/t5-base-korean-summarization 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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Framework versions

Transformers 4.56.2
Pytorch 2.8.0+cu128
Datasets 2.19.0
Tokenizers 0.22.1

Downloads last month: 8

Safetensors

Model size

0.3B params

Tensor type

F32

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