Downloads · 30 days
7
23% of all-time downloads
tinybert_train_book_ent_15p_mid_mrpc
gokulsrinivasagan/tinybert_train_book_ent_15p_mid_mrpc
tinybert_train_book_ent_15p_mid_mrpc 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
31
Public
Parameters
33M
527 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors132 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025
- SHA
- 4de44c65
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. -->
tinybert_train_book_ent_15p_mid_mrpc
This model is a fine-tuned version of gokulsrinivasagan/tinybert_train_book_ent_15p_mid on the GLUE MRPC dataset. It achieves the following results on the evaluation set:
- Loss: 0.6241
- Accuracy: 0.6838
- F1: 0.8122
- Combined Score: 0.7480
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 | F1 | Combined Score |
|---|---|---|---|---|---|---|
| 0.6351 | 1.0 | 15 | 0.6255 | 0.6838 | 0.8122 | 0.7480 |
| 0.6347 | 2.0 | 30 | 0.6243 | 0.6838 | 0.8122 | 0.7480 |
| 0.6143 | 3.0 | 45 | 0.6241 | 0.6838 | 0.8122 | 0.7480 |
| 0.5916 | 4.0 | 60 | 0.6596 | 0.5711 | 0.6269 | 0.5990 |
| 0.5301 | 5.0 | 75 | 0.6269 | 0.7034 | 0.8 | 0.7517 |
| 0.4009 | 6.0 | 90 | 0.8088 | 0.6863 | 0.7816 | 0.7339 |
| 0.3157 | 7.0 | 105 | 0.9178 | 0.6789 | 0.7768 | 0.7279 |
| 0.2669 | 8.0 | 120 | 1.0058 | 0.7108 | 0.8115 | 0.7611 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025