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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_exp_gpu |
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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_exp_gpu |
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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: 1.1468 |
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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: 4 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 64 |
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- total_train_batch_size: 256 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.0528 | 0.07 | 65 | 2.6194 | |
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| 3.2272 | 0.14 | 130 | 2.4923 | |
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| 2.8624 | 0.21 | 195 | 2.3739 | |
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| 2.552 | 0.29 | 260 | 2.2678 | |
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| 2.7232 | 0.36 | 325 | 2.1829 | |
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| 2.361 | 0.43 | 390 | 2.0939 | |
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| 2.6223 | 0.5 | 455 | 2.0165 | |
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| 2.2567 | 0.57 | 520 | 1.9490 | |
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| 2.1168 | 0.64 | 585 | 1.8869 | |
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| 2.1214 | 0.71 | 650 | 1.8269 | |
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| 2.3123 | 0.79 | 715 | 1.7750 | |
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| 2.2535 | 0.86 | 780 | 1.7338 | |
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| 1.8926 | 0.93 | 845 | 1.6785 | |
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| 1.7711 | 1.0 | 910 | 1.6277 | |
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| 1.7578 | 1.07 | 975 | 1.5990 | |
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| 2.0243 | 1.14 | 1040 | 1.5484 | |
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| 2.2152 | 1.21 | 1105 | 1.5203 | |
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| 1.6819 | 1.28 | 1170 | 1.4809 | |
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| 1.5537 | 1.36 | 1235 | 1.4518 | |
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| 1.574 | 1.43 | 1300 | 1.4189 | |
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| 1.6772 | 1.5 | 1365 | 1.3917 | |
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| 1.6269 | 1.57 | 1430 | 1.3563 | |
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| 1.5375 | 1.64 | 1495 | 1.3363 | |
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| 1.5477 | 1.71 | 1560 | 1.3118 | |
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| 1.4559 | 1.78 | 1625 | 1.2857 | |
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| 1.4579 | 1.86 | 1690 | 1.2716 | |
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| 1.4705 | 1.93 | 1755 | 1.2587 | |
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| 1.4205 | 2.0 | 1820 | 1.2346 | |
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| 1.423 | 2.07 | 1885 | 1.2277 | |
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| 1.3852 | 2.14 | 1950 | 1.2123 | |
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| 1.3362 | 2.21 | 2015 | 1.2078 | |
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| 1.2793 | 2.28 | 2080 | 1.1854 | |
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| 1.3126 | 2.36 | 2145 | 1.1806 | |
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| 1.28 | 2.43 | 2210 | 1.1731 | |
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| 1.3789 | 2.5 | 2275 | 1.1646 | |
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| 1.3572 | 2.57 | 2340 | 1.1648 | |
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| 1.3398 | 2.64 | 2405 | 1.1539 | |
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| 1.2831 | 2.71 | 2470 | 1.1518 | |
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| 1.3269 | 2.78 | 2535 | 1.1488 | |
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| 1.2208 | 2.86 | 2600 | 1.1478 | |
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| 1.2955 | 2.93 | 2665 | 1.1421 | |
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| 1.2286 | 3.0 | 2730 | 1.1468 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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