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LA1512/result

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README.md ADDED
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+ ---
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+ base_model: LA1512/PubMed-fine-tune
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - pubmed-summarization
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+ model-index:
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+ - name: results
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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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+ # results
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+
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+ This model is a fine-tuned version of [LA1512/PubMed-fine-tune](https://huggingface.co/LA1512/PubMed-fine-tune) on the pubmed-summarization dataset.
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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: 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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 3
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+ - label_smoothing_factor: 0.1
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ "activation_function": "gelu",
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+ "BartForConditionalGeneration"
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+ ],
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+ "use_cache": true,
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+ "vocab_size": 50264
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+ }
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