| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: citation_intent_classification_roberta_dapt |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # 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. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.5175 |
| - Accuracy: 0.5108 |
| - F1 Macro: 0.1127 |
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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: |
| - learning_rate: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.06 |
| - num_epochs: 10 |
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|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
| | 1.6621 | 1.0 | 105 | 1.5071 | 0.5175 | 0.1137 | |
| | 1.4561 | 2.0 | 211 | 1.3867 | 0.5175 | 0.1137 | |
| | 1.4054 | 3.0 | 316 | 1.3482 | 0.5175 | 0.1137 | |
| | 1.3753 | 4.0 | 422 | 1.3319 | 0.5175 | 0.1137 | |
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| ### Framework versions |
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| - Transformers 4.30.2 |
| - Pytorch 1.13.1+cu117 |
| - Datasets 2.13.2 |
| - Tokenizers 0.13.3 |
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