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End of training

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README.md ADDED
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+ ---
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+ base_model: SandriBarros/clinical_longformer_same_tokens_2epochs_200k
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: clinical_longformer_same_tokens_2epochs_250k
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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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+ # clinical_longformer_same_tokens_2epochs_250k
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+
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+ This model is a fine-tuned version of [SandriBarros/clinical_longformer_same_tokens_2epochs_200k](https://huggingface.co/SandriBarros/clinical_longformer_same_tokens_2epochs_200k) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3523
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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: 2
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 64
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+ - total_train_batch_size: 128
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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: 1500
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+ - num_epochs: 1
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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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+ | 1.6364 | 0.18 | 65 | 1.3779 |
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+ | 1.6311 | 0.37 | 130 | 1.3707 |
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+ | 1.6449 | 0.55 | 195 | 1.3520 |
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+ | 1.7118 | 0.74 | 260 | 1.3472 |
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+ | 1.6585 | 0.92 | 325 | 1.3523 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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