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End of training

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README.md ADDED
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+ ---
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+ license: mit
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: roberta-base
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+ model-index:
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+ - name: huth_roberta-base_adalora_lr5e-05_bs4_epoch5_wd0.01
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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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+ # huth_roberta-base_adalora_lr5e-05_bs4_epoch5_wd0.01
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+
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1960
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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: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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: 5
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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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+ | 1.1729 | 1.0 | 2217 | 0.8807 |
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+ | 0.5793 | 2.0 | 4434 | 0.4171 |
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+ | 0.3979 | 3.0 | 6651 | 0.2670 |
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+ | 0.3314 | 4.0 | 8868 | 0.2132 |
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+ | 0.2532 | 5.0 | 11085 | 0.1960 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.1
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+ - Transformers 4.36.2
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+ - Pytorch 2.0.1
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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+ "target_r": 8,
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+ "task_type": "CAUSAL_LM",
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