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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: mit
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+ base_model: jtatman/deberta-myers-briggs-classifier
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: deberta-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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+ # deberta-myers-briggs-description-classifier
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+
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+ This model is a fine-tuned version of [jtatman/deberta-myers-briggs-classifier](https://huggingface.co/jtatman/deberta-myers-briggs-classifier) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3522
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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: 8
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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: 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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+ | 0.4672 | 1.0 | 2500 | 0.4023 |
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+ | 0.4778 | 2.0 | 5000 | 0.3522 |
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+ | 0.249 | 3.0 | 7500 | 0.3978 |
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+ | 0.3674 | 4.0 | 10000 | 0.4430 |
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+ | 0.2878 | 5.0 | 12500 | 0.3779 |
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+ | 0.5441 | 6.0 | 15000 | 0.5887 |
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+ | 0.0059 | 7.0 | 17500 | 0.5300 |
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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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