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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_lora_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_lora_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: 0.3786
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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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+ | 19.0917 | 1.0 | 157 | 12.3781 |
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+ | 5.0512 | 2.0 | 314 | 4.0762 |
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+ | 3.8203 | 3.0 | 471 | 2.6873 |
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+ | 2.586 | 4.0 | 628 | 2.0339 |
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+ | 2.2522 | 5.0 | 785 | 1.6467 |
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+ | 1.8436 | 6.0 | 942 | 1.2936 |
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+ | 1.7033 | 7.0 | 1099 | 1.0691 |
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+ | 1.4103 | 8.0 | 1256 | 0.8708 |
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+ | 1.2267 | 9.0 | 1413 | 0.7359 |
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+ | 1.1845 | 10.0 | 1570 | 0.6333 |
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+ | 1.0321 | 11.0 | 1727 | 0.5510 |
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+ | 0.9554 | 12.0 | 1884 | 0.5251 |
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+ | 0.897 | 13.0 | 2041 | 0.4977 |
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+ | 0.8424 | 14.0 | 2198 | 0.4571 |
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+ | 0.8221 | 15.0 | 2355 | 0.4298 |
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+ | 0.7638 | 16.0 | 2512 | 0.4095 |
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+ | 0.7494 | 17.0 | 2669 | 0.4057 |
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+ | 0.751 | 18.0 | 2826 | 0.3920 |
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+ | 0.7365 | 19.0 | 2983 | 0.3818 |
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+ | 0.7312 | 20.0 | 3140 | 0.3786 |
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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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