End of training
Browse files- README.md +7 -12
- pytorch_model.bin +1 -1
- tokenizer.json +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [eenzeenee/t5-base-korean-summarization](https://huggingface.co/eenzeenee/t5-base-korean-summarization) on the None dataset.
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It achieves the following results on the evaluation set:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- lr_scheduler_type: linear
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 1.087 | 1.0 | 1644 | 0.6922 |
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| 0.7033 | 2.0 | 3288 | 0.6261 |
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| 0.5957 | 3.0 | 4932 | 0.6020 |
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| 0.5174 | 4.0 | 6576 | 0.6029 |
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### Framework versions
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- Transformers 4.33.2
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This model is a fine-tuned version of [eenzeenee/t5-base-korean-summarization](https://huggingface.co/eenzeenee/t5-base-korean-summarization) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.5818
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- eval_runtime: 22.9524
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- eval_samples_per_second: 15.772
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- eval_steps_per_second: 3.965
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- epoch: 5.0
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- step: 8675
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- lr_scheduler_type: linear
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- num_epochs: 20
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### Framework versions
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- Transformers 4.33.2
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pytorch_model.bin
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tokenizer.json
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"version": "1.0",
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"truncation": {
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"direction": "Right",
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"strategy": "LongestFirst",
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"stride": 0
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"version": "1.0",
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"truncation": {
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"direction": "Right",
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"max_length": 48,
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"strategy": "LongestFirst",
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"stride": 0
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training_args.bin
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