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license: apache-2.0 |
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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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# ko2en_bidirection |
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This model is a fine-tuned version of [KETI-AIR/long-ke-t5-base](https://huggingface.co/KETI-AIR/long-ke-t5-base) on the csv_dataset.py dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6808 |
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- Bleu: 52.2152 |
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- Gen Len: 396.0215 |
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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: 0.001 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 32 |
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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: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:------:|:---------------:|:----:|:-------:| |
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| 0.5962 | 1.0 | 750093 | 0.6808 | 0.0 | 18.369 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 1.13.0 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
