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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: allenai/longformer-base-4096 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: out_base_C |
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results: [] |
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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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# out_base_C |
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This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9658 |
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- Accuracy: 0.6246 |
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- F1: 0.6311 |
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- Cohen Kappa: 0.3696 |
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## 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: |
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- learning_rate: 2e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Cohen Kappa | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-----------:| |
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| 0.8223 | 1.0 | 134 | 0.7854 | 0.5910 | 0.5852 | 0.3170 | |
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| 0.7591 | 2.0 | 268 | 0.7866 | 0.6134 | 0.6161 | 0.3327 | |
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| 0.5501 | 3.0 | 402 | 0.7871 | 0.6443 | 0.6483 | 0.4155 | |
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| 0.4677 | 4.0 | 536 | 0.8966 | 0.6471 | 0.6458 | 0.4464 | |
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| 0.422 | 5.0 | 670 | 0.9658 | 0.6246 | 0.6311 | 0.3696 | |
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### Framework versions |
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- Transformers 4.57.3 |
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- Pytorch 2.9.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.2 |
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