Downloads · 30 days
7
1% of all-time downloads
bert-base-uncased-fine-tuned-on-clinc_oos-dataset
itzo/bert-base-uncased-fine-tuned-on-clinc_oos-dataset
bert-base-uncased-fine-tuned-on-clinc_oos-dataset is a text classification model from itzo. Use it when you need a label for a piece of text. 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
576
Public
Repo size
2.2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 25, 2022
- Updated
- Jul 4, 2022
- SHA
- c72afcfc
Try a prompt
Datasets
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. -->
bert-base-uncased-fine-tuned-on-clinc_oos-dataset
This model is a fine-tuned version of bert-base-uncased on the clinc_oos dataset. It achieves the following results on the evaluation set:
- Loss: 1.2811
- Accuracy Score: 0.9239
- F1 Score: 0.9213
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: 64
- eval_batch_size: 64
- 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 | Accuracy Score | F1 Score |
|---|---|---|---|---|---|
| 4.4271 | 1.0 | 239 | 3.5773 | 0.6116 | 0.5732 |
| 3.0415 | 2.0 | 478 | 2.4076 | 0.8390 | 0.8241 |
| 2.1182 | 3.0 | 717 | 1.7324 | 0.8994 | 0.8934 |
| 1.5897 | 4.0 | 956 | 1.3863 | 0.9210 | 0.9171 |
| 1.3458 | 5.0 | 1195 | 1.2811 | 0.9239 | 0.9213 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 25, 2022
- Updated
- Jul 4, 2022