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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: Dr-BERT/DrBERT-7GB
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+ tags:
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+ - generated_from_trainer
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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: DrBERT-7GB-finetuned-loinc
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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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+ # DrBERT-7GB-finetuned-loinc
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+
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+ This model is a fine-tuned version of [Dr-BERT/DrBERT-7GB](https://huggingface.co/Dr-BERT/DrBERT-7GB) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6762
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+ - Accuracy: 0.8519
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+ - F1: 0.8516
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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: 64
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+ - eval_batch_size: 64
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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: 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 | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 1268 | 0.6636 | 0.8410 | 0.8379 |
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+ | No log | 2.0 | 2536 | 0.6715 | 0.8401 | 0.8414 |
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+ | No log | 3.0 | 3804 | 0.6953 | 0.8538 | 0.8490 |
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+ | No log | 4.0 | 5072 | 0.6719 | 0.8522 | 0.8524 |
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+ | No log | 5.0 | 6340 | 0.6762 | 0.8519 | 0.8516 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.2
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+ - Pytorch 2.3.1+cxx11.abi
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
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