Downloads · 30 days
9
9% of all-time downloads
EcoBERT-finetuned-ner-S800
ViktorDo/EcoBERT-finetuned-ner-S800
EcoBERT-finetuned-ner-S800 is a token classification model from ViktorDo. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
102
Public
Repo size
4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin265 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Sep 5, 2023
- Updated
- Sep 24, 2023
- SHA
- 6636ed8d
Try a prompt
Base models
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. -->
EcoBERT-finetuned-ner-S800
This model is a fine-tuned version of ViktorDo/EcoBERT-Pretrained on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0830
- Precision: 0.5278
- Recall: 0.6129
- F1: 0.5672
- Accuracy: 0.9698
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 55 | 0.1278 | 0.3136 | 0.3871 | 0.3465 | 0.9466 |
| No log | 2.0 | 110 | 0.0904 | 0.4455 | 0.5442 | 0.4899 | 0.9657 |
| No log | 3.0 | 165 | 0.0825 | 0.5096 | 0.6339 | 0.5650 | 0.9691 |
| No log | 4.0 | 220 | 0.0795 | 0.5083 | 0.6003 | 0.5505 | 0.9699 |
| No log | 5.0 | 275 | 0.0830 | 0.5278 | 0.6129 | 0.5672 | 0.9698 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 5, 2023
- Updated
- Sep 24, 2023