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aparajitha/bart-base-sci-ms-tr

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: aparajitha/bart-base-sci-tr
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bart-base-sci-ms-tr
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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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+ # bart-base-sci-ms-tr
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+
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+ This model is a fine-tuned version of [aparajitha/bart-base-sci-tr](https://huggingface.co/aparajitha/bart-base-sci-tr) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.1887
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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: 6
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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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+ | 2.4897 | 1.0 | 2184 | 2.2884 |
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+ | 2.2378 | 2.0 | 4368 | 2.2122 |
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+ | 2.0913 | 3.0 | 6552 | 2.1909 |
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+ | 2.0012 | 4.0 | 8736 | 2.1907 |
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+ | 1.8773 | 5.0 | 10920 | 2.1834 |
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+ | 1.8211 | 6.0 | 13104 | 2.1887 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.43.4
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+ - Pytorch 1.13.1
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+ - Datasets 2.12.0
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+ - Tokenizers 0.19.1
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+ "BartForConditionalGeneration"
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+ ],
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+ }
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