---
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

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

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

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

### Training results

| 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   |


### Framework versions

- Transformers 4.30.2
- Pytorch 1.13.1+cu117
- Datasets 2.13.2
- Tokenizers 0.13.3