Downloads · 30 days
12
26% of all-time downloads
bert_base_train_book_ent_15p_inv_rte
gokulsrinivasagan/bert_base_train_book_ent_15p_inv_rte
bert_base_train_book_ent_15p_inv_rte 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
47
Public
Parameters
109M
876 MB 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
- 98de30d3
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_inv_rte
This model is a fine-tuned version of gokulsrinivasagan/bert_base_train_book_ent_15p_inv on the GLUE RTE dataset. It achieves the following results on the evaluation set:
- Loss: 0.6886
- Accuracy: 0.5451
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 |
|---|---|---|---|---|
| 0.7042 | 1.0 | 10 | 0.6886 | 0.5451 |
| 0.6658 | 2.0 | 20 | 0.6981 | 0.5307 |
| 0.6035 | 3.0 | 30 | 0.7195 | 0.5415 |
| 0.4558 | 4.0 | 40 | 0.8712 | 0.5812 |
| 0.2726 | 5.0 | 50 | 1.1355 | 0.5307 |
| 0.1681 | 6.0 | 60 | 1.4162 | 0.5560 |
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