21iridescent
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README.md
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license:
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---
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license: cc-by-nc-sa-4.0
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tags:
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- generated_from_trainer
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model-index:
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- name: REBEL-ComSci
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results: []
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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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# REBEL-ComSci
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This model is a fine-tuned version of [Babelscape/rebel-large](https://huggingface.co/Babelscape/rebel-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.0770
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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: 0.002
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- train_batch_size: 32
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- eval_batch_size: 32
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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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| No log | 1.0 | 210 | 5.2197 |
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| No log | 2.0 | 420 | 5.0887 |
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| 5.8771 | 3.0 | 630 | 5.1124 |
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| 5.8771 | 4.0 | 840 | 5.0977 |
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| 4.5631 | 5.0 | 1050 | 5.0572 |
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| 4.5631 | 6.0 | 1260 | 5.0645 |
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| 4.5631 | 7.0 | 1470 | 5.0819 |
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| 4.5209 | 8.0 | 1680 | 5.0690 |
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| 4.5209 | 9.0 | 1890 | 5.0819 |
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| 4.4896 | 10.0 | 2100 | 5.0770 |
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### Framework versions
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- Transformers 4.23.1
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- Pytorch 1.12.1+cu113
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- Tokenizers 0.13.1
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