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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: 627_roberta-base_adalora_lr0.005_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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+ # 627_roberta-base_adalora_lr0.005_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: 0.1890
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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: 0.005
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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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+ | 11.4687 | 1.0 | 157 | 1.1220 |
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+ | 0.9821 | 2.0 | 314 | 0.7009 |
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+ | 0.8879 | 3.0 | 471 | 0.7737 |
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+ | 0.9131 | 4.0 | 628 | 0.4843 |
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+ | 0.5128 | 5.0 | 785 | 0.1890 |
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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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+ "orth_reg_weight": 0.5,
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+ "peft_type": "ADALORA",
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+ "target_r": 8,
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+ "task_type": "CAUSAL_LM",
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