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End of training

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README.md ADDED
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+ ---
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+ base_model: FacebookAI/roberta-base
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+ library_name: peft
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+ license: mit
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+ metrics:
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+ - accuracy
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: roberta-peft-rating
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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-peft-rating
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+
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+ This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9893
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+ - Accuracy: 0.5555
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+ - Mse: 0.6434
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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: 16
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+ - eval_batch_size: 16
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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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+ - num_epochs: 10
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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 | Mse |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 425 | 1.3347 | 0.3631 | 1.1621 |
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+ | 1.3948 | 2.0 | 850 | 1.1884 | 0.4617 | 1.0093 |
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+ | 1.2586 | 3.0 | 1275 | 1.0602 | 0.5153 | 0.6819 |
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+ | 1.0752 | 4.0 | 1700 | 1.0236 | 0.5301 | 0.7255 |
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+ | 1.028 | 5.0 | 2125 | 1.0017 | 0.5428 | 0.6455 |
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+ | 1.0183 | 6.0 | 2550 | 0.9974 | 0.5527 | 0.6541 |
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+ | 1.0183 | 7.0 | 2975 | 0.9956 | 0.5514 | 0.6307 |
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+ | 1.0076 | 8.0 | 3400 | 0.9925 | 0.5527 | 0.6510 |
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+ | 0.9974 | 9.0 | 3825 | 0.9914 | 0.5589 | 0.6427 |
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+ | 0.9863 | 10.0 | 4250 | 0.9893 | 0.5555 | 0.6434 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.13.2
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+ - Transformers 4.44.2
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+ - Pytorch 2.5.0+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.19.1
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