Downloads · 30 days
11
20% of all-time downloads
ec_classfication_0502_dmis_lab_biobert_large_cased_v1.1_squad
kimsiun/ec_classfication_0502_dmis_lab_biobert_large_cased_v1.1_squad
ec_classfication_0502_dmis_lab_biobert_large_cased_v1.1_squad is a text classification model from kimsiun. 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. --
All-time downloads
54
Public
Repo size
4.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.5 GB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 2, 2023
- Updated
- May 2, 2023
- SHA
- b99c230c
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. -->
ec_classfication_0502_dmis_lab_biobert_large_cased_v1.1_squad
This model is a fine-tuned version of dmis-lab/biobert-large-cased-v1.1-squad on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1937
- F1: 0.8352
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 59 | 0.6381 | 0.5429 |
| No log | 2.0 | 118 | 0.4498 | 0.8350 |
| No log | 3.0 | 177 | 0.6399 | 0.8247 |
| No log | 4.0 | 236 | 0.6723 | 0.8444 |
| No log | 5.0 | 295 | 1.1235 | 0.7901 |
| No log | 6.0 | 354 | 1.0581 | 0.8298 |
| No log | 7.0 | 413 | 1.2403 | 0.8 |
| No log | 8.0 | 472 | 1.1142 | 0.8298 |
| 0.1533 | 9.0 | 531 | 1.1338 | 0.8222 |
| 0.1533 | 10.0 | 590 | 1.1343 | 0.8478 |
| 0.1533 | 11.0 | 649 | 1.1471 | 0.8478 |
| 0.1533 | 12.0 | 708 | 1.1670 | 0.8478 |
| 0.1533 | 13.0 | 767 | 1.1825 | 0.8352 |
| 0.1533 | 14.0 | 826 | 1.1912 | 0.8352 |
| 0.1533 | 15.0 | 885 | 1.1937 | 0.8352 |
Framework versions
- Transformers 4.27.3
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- May 2, 2023
- Updated
- May 2, 2023