t5-small-korean-summarization_JU_FineTune_AIHUB_Law
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README.md
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---
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base_model: eenzeenee/t5-small-korean-summarization
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tags:
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- summarization
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- generated_from_trainer
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model-index:
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- name: t5-small-korean-summarization_JU_FineTune_AIHUB_Law
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# t5-small-korean-summarization_JU_FineTune_AIHUB_Law
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This model is a fine-tuned version of [eenzeenee/t5-small-korean-summarization](https://huggingface.co/eenzeenee/t5-small-korean-summarization) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Training results
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"max_length": 128,
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"pad_token_id": 0,
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"transformers_version": "4.40.1"
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}
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model.safetensors
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runs/Apr27_18-41-45_e9ae87564fa3/events.out.tfevents.1714243307.e9ae87564fa3.704.0
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training_args.bin
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