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Rud/bigbird_lora_multi_lexsum_4096

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ base_model: google/bigbird-pegasus-large-bigpatent
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+ model-index:
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+ - name: bigbird_lora_multi_lexsum_4096
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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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+ # bigbird_lora_multi_lexsum_4096
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+
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+ This model is a fine-tuned version of [google/bigbird-pegasus-large-bigpatent](https://huggingface.co/google/bigbird-pegasus-large-bigpatent) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 6.4747
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+ - Rouge1: 0.2081
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+ - Rouge2: 0.0211
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+ - Rougel: 0.149
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+ - Rougelsum: 0.149
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+ - Gen Len: 238.0973
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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: 2
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
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+ | 7.0221 | 1.0 | 1301 | 6.6894 | 0.2067 | 0.0208 | 0.1466 | 0.1466 | 236.1568 |
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+ | 6.6786 | 2.0 | 2602 | 6.4747 | 0.2081 | 0.0211 | 0.149 | 0.149 | 238.0973 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.10.0
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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