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--- |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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tags: |
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- generated_from_trainer |
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datasets: |
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- scirepeval |
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model-index: |
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- name: bert-base-uncased-MLP-scirepeval-chemistry-LARGE |
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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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# bert-base-uncased-MLP-scirepeval-chemistry-LARGE |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on the scirepeval dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7126 |
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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: 64 |
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- eval_batch_size: 64 |
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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: 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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| 2.2387 | 1.0 | 1407 | 1.9832 | |
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| 2.0503 | 2.0 | 2814 | 1.8959 | |
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| 1.9684 | 3.0 | 4221 | 1.8506 | |
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| 1.9195 | 4.0 | 5628 | 1.8186 | |
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| 1.8864 | 5.0 | 7035 | 1.8010 | |
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| 1.8551 | 6.0 | 8442 | 1.7677 | |
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| 1.8311 | 7.0 | 9849 | 1.7436 | |
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| 1.8185 | 8.0 | 11256 | 1.7415 | |
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| 1.8013 | 9.0 | 12663 | 1.7315 | |
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| 1.796 | 10.0 | 14070 | 1.7378 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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