End of training
Browse files- README.md +81 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: allenai/scibert_scivocab_uncased
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tags:
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- generated_from_trainer
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datasets:
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- scicite
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metrics:
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- accuracy
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model-index:
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- name: cite_classification
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: scicite
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type: scicite
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config: default
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split: validation
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9170305676855895
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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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# cite_classification
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This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the scicite dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6533
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- Accuracy: 0.9170
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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: 16
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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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.4909 | 1.0 | 719 | 0.2266 | 0.9181 |
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| 0.3215 | 2.0 | 1438 | 0.3707 | 0.9181 |
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| 0.0825 | 3.0 | 2157 | 0.5539 | 0.9159 |
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| 0.0539 | 4.0 | 2876 | 0.5117 | 0.9159 |
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| 0.0245 | 5.0 | 3595 | 0.5720 | 0.9094 |
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| 0.0209 | 6.0 | 4314 | 0.5710 | 0.9170 |
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| 0.0104 | 7.0 | 5033 | 0.6443 | 0.9116 |
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| 0.0059 | 8.0 | 5752 | 0.6533 | 0.9170 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 439754545
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