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Training complete

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README.md ADDED
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+ ---
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+ license: bsd-3-clause
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+ library_name: peft
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+ tags:
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+ - Summarization
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+ - generated_from_trainer
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+ base_model: pszemraj/pegasus-x-large-book-summary
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+ model-index:
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+ - name: pegasus-x-large-annual-report-QLoRA-fine-tuned-v1.4
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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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+ # pegasus-x-large-annual-report-QLoRA-fine-tuned-v1.4
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+
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+ This model is a fine-tuned version of [pszemraj/pegasus-x-large-book-summary](https://huggingface.co/pszemraj/pegasus-x-large-book-summary) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8735
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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: 0.0002
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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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: 1
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+ - num_epochs: 1
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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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+ | 0.7556 | 0.992 | 31 | 0.8735 |
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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 4.41.0.dev0
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+ - Pytorch 2.2.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.19.1
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