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--- |
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base_model: allenai/scibert_scivocab_cased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: SOMD-scibert-stage2-v1 |
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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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# SOMD-scibert-stage2-v1 |
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This model is a fine-tuned version of [allenai/scibert_scivocab_cased](https://huggingface.co/allenai/scibert_scivocab_cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0115 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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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- 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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| No log | 1.0 | 202 | 0.4607 | |
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| No log | 1.99 | 404 | 0.2408 | |
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| 0.5891 | 2.99 | 606 | 0.1086 | |
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| 0.5891 | 3.98 | 808 | 0.0879 | |
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| 0.1352 | 4.98 | 1010 | 0.0505 | |
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| 0.1352 | 5.97 | 1212 | 0.0286 | |
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| 0.1352 | 6.97 | 1414 | 0.0262 | |
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| 0.0541 | 7.96 | 1616 | 0.0231 | |
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| 0.0541 | 8.96 | 1818 | 0.0224 | |
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| 0.0395 | 9.95 | 2020 | 0.0217 | |
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| 0.0395 | 10.95 | 2222 | 0.0191 | |
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| 0.0395 | 11.94 | 2424 | 0.0156 | |
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| 0.0303 | 12.94 | 2626 | 0.0164 | |
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| 0.0303 | 13.93 | 2828 | 0.0146 | |
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| 0.0226 | 14.93 | 3030 | 0.0124 | |
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| 0.0226 | 15.92 | 3232 | 0.0127 | |
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| 0.0226 | 16.92 | 3434 | 0.0115 | |
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| 0.0176 | 17.91 | 3636 | 0.0123 | |
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| 0.0176 | 18.91 | 3838 | 0.0115 | |
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| 0.0146 | 19.9 | 4040 | 0.0115 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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