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README.md ADDED
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+ ---
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+ base_model: Patcas/plbart-works
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: plbart-docs-v3
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+ results: []
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+ ---
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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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+
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+ # plbart-docs-v3
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+
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+ This model is a fine-tuned version of [Patcas/plbart-works](https://huggingface.co/Patcas/plbart-works) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9986
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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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: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 230 | 0.9920 |
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+ | No log | 2.0 | 460 | 0.9308 |
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+ | 0.9908 | 3.0 | 690 | 0.9395 |
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+ | 0.9908 | 4.0 | 920 | 0.9661 |
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+ | 0.3269 | 5.0 | 1150 | 0.9877 |
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+ | 0.3269 | 6.0 | 1380 | 0.9714 |
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+ | 0.1753 | 7.0 | 1610 | 0.9781 |
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+ | 0.1753 | 8.0 | 1840 | 0.9893 |
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+ | 0.0913 | 9.0 | 2070 | 0.9951 |
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+ | 0.0913 | 10.0 | 2300 | 0.9986 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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+ {
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+ "_from_model_config": true,
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+ "transformers_version": "4.35.2"
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+ }
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