Downloads · 30 days
8
1% of all-time downloads
roberta_finetuned_astronomicalNER
mazzaqq/roberta_finetuned_astronomicalNER
roberta_finetuned_astronomicalNER is a token classification model from mazzaqq. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
552
Public
Repo size
6.7 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin2.2 GB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Aug 8, 2022
- Updated
- Dec 20, 2023
- SHA
- 55db9058
Try a prompt
Model card
From the Hugging Face model README
<!-- 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. -->
roberta_finetuned_astronomicalNER
This model is a fine-tuned version of xlm-roberta-large-finetuned-conll03-english for NER on astronomical objects. The dataset comes from the Shared Task DEAL: Detecting Entities in the Astrophysics Literature
The model achieves the following results on the evaluation set:
- Loss: 0.1416
- Precision: 0.7659
- Recall: 0.7986
- F1: 0.7819
- Accuracy: 0.9640
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 176 | 0.1571 | 0.7362 | 0.7788 | 0.7569 | 0.9593 |
| No log | 2.0 | 352 | 0.1416 | 0.7529 | 0.7831 | 0.7677 | 0.9624 |
| 0.1109 | 3.0 | 528 | 0.1416 | 0.7659 | 0.7986 | 0.7819 | 0.9640 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Token Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- Aug 8, 2022
- Updated
- Dec 20, 2023