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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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+ base_model: allenai/biomed_roberta_base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: roberta-base-biomed-myers-briggs-description-classifier
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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-biomed-myers-briggs-description-classifier
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+
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+ This model is a fine-tuned version of [allenai/biomed_roberta_base](https://huggingface.co/allenai/biomed_roberta_base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2540
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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: 16
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.3286 | 1.0 | 1000 | 0.4405 |
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+ | 0.4562 | 2.0 | 2000 | 0.2795 |
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+ | 0.1113 | 3.0 | 3000 | 0.2540 |
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+ | 0.0441 | 4.0 | 4000 | 0.2629 |
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+ | 0.1155 | 5.0 | 5000 | 0.2732 |
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+ | 0.0594 | 6.0 | 6000 | 0.3155 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.3
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.20.3
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