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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: roberta-base_adalora_lr5e-05_bs4_epoch20_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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+ # roberta-base_adalora_lr5e-05_bs4_epoch20_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: 0.9384
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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: 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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 20
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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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+ | 20.9149 | 1.0 | 157 | 22.9165 |
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+ | 19.5718 | 2.0 | 314 | 20.4620 |
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+ | 16.1428 | 3.0 | 471 | 8.3668 |
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+ | 6.2585 | 4.0 | 628 | 5.4075 |
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+ | 5.2121 | 5.0 | 785 | 4.2089 |
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+ | 3.9508 | 6.0 | 942 | 3.3070 |
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+ | 3.5288 | 7.0 | 1099 | 2.6880 |
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+ | 2.7862 | 8.0 | 1256 | 2.1896 |
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+ | 2.2747 | 9.0 | 1413 | 1.8447 |
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+ | 2.1055 | 10.0 | 1570 | 1.5875 |
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+ | 1.7906 | 11.0 | 1727 | 1.4025 |
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+ | 1.644 | 12.0 | 1884 | 1.2812 |
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+ | 1.5143 | 13.0 | 2041 | 1.1835 |
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+ | 1.4586 | 14.0 | 2198 | 1.1041 |
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+ | 1.3763 | 15.0 | 2355 | 1.0454 |
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+ | 1.275 | 16.0 | 2512 | 1.0037 |
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+ | 1.2663 | 17.0 | 2669 | 0.9724 |
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+ | 1.2513 | 18.0 | 2826 | 0.9542 |
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+ | 1.2126 | 19.0 | 2983 | 0.9430 |
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+ | 1.1927 | 20.0 | 3140 | 0.9384 |
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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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