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LA1512/led-pubmed-20K-ORC-4096-epoch2

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README.md ADDED
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+ ---
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+ license: bsd-3-clause
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+ base_model: LA1512/Led-pubmed-20K-4096-epoch2
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+ tags:
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+ - generated_from_trainer
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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/Led-pubmed-20K-4096-epoch2](https://huggingface.co/LA1512/Led-pubmed-20K-4096-epoch2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 3.4307
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+ - eval_rouge1: 42.7202
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+ - eval_rouge2: 13.8636
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+ - eval_rougeL: 21.0583
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+ - eval_rougeLsum: 37.393
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+ - eval_gen_len: 290.714
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+ - eval_runtime: 24465.3571
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+ - eval_samples_per_second: 0.02
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+ - eval_steps_per_second: 0.01
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+ - step: 0
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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: 3e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 16
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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: 400
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+ - num_epochs: 1
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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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