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README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: citation_intent_classification_roberta_dapt
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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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# citation_intent_classification_roberta_dapt
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This model is a fine-tuned version of [ltuzova/cs_domain_pretrained_model](https://huggingface.co/ltuzova/cs_domain_pretrained_model) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9529
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- Accuracy: 0.8058
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- F1 Macro: 0.6863
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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: 8
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.06
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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| 1.4812 | 1.0 | 105 | 1.1203 | 0.6228 | 0.2652 |
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| 1.0433 | 2.0 | 211 | 0.8470 | 0.7193 | 0.3495 |
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| 0.79 | 3.0 | 316 | 0.7901 | 0.7807 | 0.5247 |
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| 0.5537 | 4.0 | 422 | 0.7622 | 0.7982 | 0.6502 |
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| 0.3772 | 5.0 | 527 | 0.8092 | 0.7544 | 0.6253 |
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| 0.3027 | 6.0 | 633 | 0.8372 | 0.8246 | 0.6617 |
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| 0.2132 | 7.0 | 738 | 1.0046 | 0.7807 | 0.6502 |
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| 0.1517 | 8.0 | 844 | 0.9388 | 0.7982 | 0.6772 |
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| 0.1714 | 9.0 | 949 | 0.9895 | 0.7719 | 0.6251 |
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| 0.098 | 9.95 | 1050 | 1.0355 | 0.7719 | 0.6251 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 1.13.1+cu117
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- Datasets 2.13.2
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- Tokenizers 0.13.3
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