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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_new_tokens_v2 |
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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_new_tokens_v2 |
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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: 4.8474 |
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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: 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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.5192 | 1.42 | 2 | 4.9585 | |
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| 2.6002 | 2.84 | 4 | 4.5364 | |
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| 2.0541 | 4.0 | 6 | 5.1700 | |
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| 1.8191 | 5.0 | 8 | 4.7585 | |
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| 1.8123 | 6.0 | 10 | 4.3768 | |
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| 2.0364 | 7.11 | 12 | 4.8248 | |
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| 2.4587 | 8.53 | 14 | 4.9780 | |
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| 2.4665 | 9.96 | 16 | 4.2456 | |
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| 1.7881 | 11.0 | 18 | 4.1161 | |
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| 1.7651 | 12.0 | 20 | 4.8474 | |
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### Framework versions |
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- Transformers 4.35.0 |
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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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