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tjasadprompt_fine_tuned_boolq_sloberta

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README.md ADDED
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+ ---
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+ license: cc-by-sa-4.0
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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: EMBEDDIA/sloberta
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+ metrics:
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+ - accuracy
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+ - f1
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+ model-index:
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+ - name: prompt_fine_tuned_boolq_sloberta
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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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+ # prompt_fine_tuned_boolq_sloberta
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+
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+ This model is a fine-tuned version of [EMBEDDIA/sloberta](https://huggingface.co/EMBEDDIA/sloberta) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5641
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+ - Accuracy: 0.7778
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+ - F1: 0.6806
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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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+ - training_steps: 400
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
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+ | 0.6616 | 4.1667 | 50 | 0.5869 | 0.7778 | 0.6806 |
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+ | 0.6427 | 8.3333 | 100 | 0.5746 | 0.7778 | 0.6806 |
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+ | 0.6365 | 12.5 | 150 | 0.5704 | 0.7778 | 0.6806 |
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+ | 0.6407 | 16.6667 | 200 | 0.5675 | 0.7778 | 0.6806 |
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+ | 0.6352 | 20.8333 | 250 | 0.5658 | 0.7778 | 0.6806 |
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+ | 0.6386 | 25.0 | 300 | 0.5641 | 0.7778 | 0.6806 |
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+ | 0.6445 | 29.1667 | 350 | 0.5643 | 0.7778 | 0.6806 |
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+ | 0.6363 | 33.3333 | 400 | 0.5641 | 0.7778 | 0.6806 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.11.1
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+ - Transformers 4.40.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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+ "peft_type": "PROMPT_TUNING",
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