End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: allenai/longformer-base-4096
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: longformer-epidemiology-2epoch
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# longformer-epidemiology-2epoch
+
+This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6925
+- Accuracy: 0.523
+- F1: 0.3434
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 20
+- eval_batch_size: 20
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
+| 0.7018        | 0.1111 | 50   | 0.7033          | 0.477    | 0.3230 |
+| 0.6963        | 0.2222 | 100  | 0.7050          | 0.477    | 0.3230 |
+| 0.6963        | 0.3333 | 150  | 0.6921          | 0.523    | 0.3434 |
+| 0.694         | 0.4444 | 200  | 0.6921          | 0.523    | 0.3434 |
+| 0.7012        | 0.5556 | 250  | 0.6930          | 0.523    | 0.3434 |
+| 0.697         | 0.6667 | 300  | 0.6969          | 0.477    | 0.3230 |
+| 0.7008        | 0.7778 | 350  | 0.6923          | 0.523    | 0.3434 |
+| 0.6944        | 0.8889 | 400  | 0.6924          | 0.523    | 0.3434 |
+| 0.6945        | 1.0    | 450  | 0.7039          | 0.477    | 0.3230 |
+| 0.6915        | 1.1111 | 500  | 0.6925          | 0.523    | 0.3434 |
+| 0.6988        | 1.2222 | 550  | 0.6935          | 0.477    | 0.3230 |
+| 0.6927        | 1.3333 | 600  | 0.6950          | 0.477    | 0.3230 |
+| 0.6916        | 1.4444 | 650  | 0.6931          | 0.523    | 0.3434 |
+| 0.6911        | 1.5556 | 700  | 0.6936          | 0.477    | 0.3230 |
+| 0.6969        | 1.6667 | 750  | 0.6977          | 0.477    | 0.3230 |
+| 0.6963        | 1.7778 | 800  | 0.6929          | 0.523    | 0.3434 |
+| 0.6924        | 1.8889 | 850  | 0.6941          | 0.477    | 0.3230 |
+| 0.6945        | 2.0    | 900  | 0.6935          | 0.477    | 0.3230 |
+
+
+### Framework versions
+
+- Transformers 4.46.0
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.20.1

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special_tokens_map.json

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tokenizer_config.json

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+}