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--- |
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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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model-index: |
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- name: clinical_longformer_same_tokens |
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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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# clinical_longformer_same_tokens |
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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: 3.7059 |
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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: 2 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 4.4747 | 0.36 | 4 | 4.0650 | |
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| 3.6551 | 0.71 | 8 | 4.6086 | |
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| 3.6023 | 1.07 | 12 | 3.2223 | |
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| 4.1356 | 1.42 | 16 | 4.3734 | |
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| 3.5103 | 1.78 | 20 | 3.4911 | |
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| 3.8186 | 2.13 | 24 | 4.5828 | |
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| 3.5699 | 2.49 | 28 | 3.9042 | |
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| 3.9307 | 2.84 | 32 | 3.8804 | |
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| 3.4662 | 3.2 | 36 | 3.8901 | |
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| 4.0907 | 3.56 | 40 | 4.0173 | |
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| 3.7467 | 3.91 | 44 | 3.7059 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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