Downloads · 30 days
9
2% of all-time downloads
sentence_bert-base-uncased-finetuned-SENTENCE
ali2066/sentence_bert-base-uncased-finetuned-SENTENCE
sentence_bert-base-uncased-finetuned-SENTENCE is a text classification model from ali2066. 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
561
Public
Repo size
1.8 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 16, 2022
- Updated
- Jun 16, 2022
- SHA
- b3e8cf12
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. -->
sentence_bert-base-uncased-finetuned-SENTENCE
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4834
- Precision: 0.8079
- Recall: 1.0
- F1: 0.8938
- Accuracy: 0.8079
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- 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 | 13 | 0.3520 | 0.8889 | 1.0 | 0.9412 | 0.8889 |
| No log | 2.0 | 26 | 0.3761 | 0.8889 | 1.0 | 0.9412 | 0.8889 |
| No log | 3.0 | 39 | 0.3683 | 0.8889 | 1.0 | 0.9412 | 0.8889 |
| No log | 4.0 | 52 | 0.3767 | 0.8889 | 1.0 | 0.9412 | 0.8889 |
| No log | 5.0 | 65 | 0.3834 | 0.8889 | 1.0 | 0.9412 | 0.8889 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 16, 2022
- Updated
- Jun 16, 2022