| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: allenai/longformer-base-4096 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: MECI-longformer-base-4096-classifier |
| 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. --> |
|
|
| # MECI-longformer-base-4096-classifier |
|
|
| This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2705 |
| - Accuracy: 0.8968 |
| - F1 Macro: 0.4523 |
|
|
| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
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|
| ## Training and evaluation data |
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| More information needed |
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|
| ## Training procedure |
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 3e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 32 |
| - 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: 2.0 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
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| |
| ### Framework versions |
| |
| - Transformers 4.54.1 |
| - Pytorch 2.7.1+cu126 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.4 |
| |
