citation_intent_classification_roberta_dapt

ltuzova/citation_intent_classification_roberta_dapt

citation_intent_classification_roberta_dapt is a text classification model from ltuzova. Use it when you need a label for a piece of text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
Model type: roberta
Access: Public
Created: Apr 20, 2024
Updated: Apr 21, 2024
SHA: 242038fa

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Model card

From the Hugging Face model README

citation_intent_classification_roberta_dapt

This model is a fine-tuned version of 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

Task: Text Classification
Library: transformers
Type: roberta
Created: Apr 20, 2024
Updated: Apr 21, 2024