Downloads · 30 days
4
9% of all-time downloads
baseline_nli_bert
jalaluddin94/baseline_nli_bert
baseline_nli_bert is a text classification model from jalaluddin94. 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
43
Public
Repo size
876 MB
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
- Sep 1, 2023
- Updated
- Sep 1, 2023
- SHA
- d2b1c886
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. -->
baseline_nli_bert
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9280
- Accuracy: 0.6063
- Precision: 0.6063
- Recall: 0.6063
- F1 Score: 0.6088
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: 3e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 101
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
|---|---|---|---|---|---|---|---|
| 1.0366 | 1.0 | 2583 | 0.9579 | 0.5603 | 0.5603 | 0.5603 | 0.5638 |
| 0.9416 | 2.0 | 5166 | 0.9206 | 0.5826 | 0.5826 | 0.5826 | 0.5877 |
| 0.8889 | 3.0 | 7749 | 0.9085 | 0.5981 | 0.5981 | 0.5981 | 0.6025 |
| 0.8539 | 4.0 | 10332 | 0.9176 | 0.6054 | 0.6054 | 0.6054 | 0.6089 |
| 0.8323 | 5.0 | 12915 | 0.9201 | 0.6049 | 0.6049 | 0.6049 | 0.6066 |
| 0.811 | 6.0 | 15498 | 0.9280 | 0.6063 | 0.6063 | 0.6063 | 0.6088 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.12.1
- Datasets 2.11.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 1, 2023
- Updated
- Sep 1, 2023