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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_vtres |
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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_vtres |
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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: 0.9360 |
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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: 128 |
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- total_train_batch_size: 512 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.4475 | 0.28 | 129 | 2.4612 | |
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| 3.2401 | 0.57 | 258 | 2.2069 | |
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| 3.0136 | 0.85 | 387 | 2.0084 | |
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| 2.5518 | 1.13 | 516 | 1.8632 | |
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| 2.9398 | 1.42 | 645 | 1.7412 | |
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| 2.0755 | 1.7 | 774 | 1.6260 | |
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| 2.231 | 1.98 | 903 | 1.5247 | |
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| 1.9556 | 2.27 | 1032 | 1.4482 | |
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| 2.0415 | 2.55 | 1161 | 1.3771 | |
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| 2.111 | 2.83 | 1290 | 1.3097 | |
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| 1.6116 | 3.12 | 1419 | 1.2572 | |
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| 1.6044 | 3.4 | 1548 | 1.2108 | |
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| 1.6614 | 3.68 | 1677 | 1.1802 | |
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| 1.5013 | 3.97 | 1806 | 1.1371 | |
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| 1.4666 | 4.25 | 1935 | 1.1079 | |
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| 1.4608 | 4.53 | 2064 | 1.0894 | |
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| 1.5144 | 4.82 | 2193 | 1.0672 | |
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| 1.3958 | 5.1 | 2322 | 1.0390 | |
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| 1.3949 | 5.38 | 2451 | 1.0283 | |
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| 1.539 | 5.67 | 2580 | 1.0249 | |
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| 1.5819 | 5.95 | 2709 | 1.0085 | |
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| 1.2588 | 6.23 | 2838 | 1.0033 | |
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| 1.2704 | 6.52 | 2967 | 0.9875 | |
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| 1.2457 | 6.8 | 3096 | 0.9768 | |
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| 1.2066 | 7.08 | 3225 | 0.9707 | |
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| 1.226 | 7.37 | 3354 | 0.9657 | |
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| 1.3292 | 7.65 | 3483 | 0.9590 | |
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| 1.1629 | 7.93 | 3612 | 0.9468 | |
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| 1.2711 | 8.22 | 3741 | 0.9437 | |
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| 1.3092 | 8.5 | 3870 | 0.9445 | |
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| 1.35 | 8.78 | 3999 | 0.9424 | |
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| 1.3402 | 9.07 | 4128 | 0.9360 | |
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| 1.1433 | 9.35 | 4257 | 0.9349 | |
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| 1.3059 | 9.63 | 4386 | 0.9296 | |
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| 1.1391 | 9.92 | 4515 | 0.9360 | |
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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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