Downloads · 30 days
13
25% of all-time downloads
bert_base_train_book_ent_15p_b_qnli
gokulsrinivasagan/bert_base_train_book_ent_15p_b_qnli
bert_base_train_book_ent_15p_b_qnli is a text classification model from gokulsrinivasagan. 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
53
Public
Parameters
109M
3.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Apr 9, 2025
- Updated
- Apr 9, 2025
- SHA
- 255c77a3
Try a prompt
Base models
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_train_book_ent_15p_b_qnli
This model is a fine-tuned version of gokulsrinivasagan/bert_base_train_book_ent_15p_b on the GLUE QNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.3935
- Accuracy: 0.8213
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: 5e-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 10
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5254 | 1.0 | 410 | 0.4407 | 0.8029 |
| 0.3984 | 2.0 | 820 | 0.3935 | 0.8213 |
| 0.2974 | 3.0 | 1230 | 0.4439 | 0.8131 |
| 0.2038 | 4.0 | 1640 | 0.4725 | 0.8135 |
| 0.1358 | 5.0 | 2050 | 0.5623 | 0.8126 |
| 0.0955 | 6.0 | 2460 | 0.7321 | 0.8091 |
| 0.0718 | 7.0 | 2870 | 0.7475 | 0.8056 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Apr 9, 2025
- Updated
- Apr 9, 2025