Downloads · 30 days
23
47% of all-time downloads
bert_tiny_lda_100_v1_book_mrpc
gokulsrinivasagan/bert_tiny_lda_100_v1_book_mrpc
bert_tiny_lda_100_v1_book_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.
should probably proofread and complete it, then remove this comment. --
All-time downloads
49
Public
Parameters
33M
396 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
- Model type
- distilbert
- Access
- Public
- Created
- Dec 10, 2024
- Updated
- Dec 10, 2024
- SHA
- 5d2aa196
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_tiny_lda_100_v1_book_mrpc
This model is a fine-tuned version of gokulsrinivasagan/bert_tiny_lda_100_v1_book on the GLUE MRPC dataset. It achieves the following results on the evaluation set:
- Loss: 0.5396
- Accuracy: 0.7475
- F1: 0.8303
- Combined Score: 0.7889
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 |
|---|---|---|---|---|---|---|
| 0.62 | 1.0 | 15 | 0.5966 | 0.6740 | 0.7892 | 0.7316 |
| 0.5856 | 2.0 | 30 | 0.5702 | 0.7010 | 0.8129 | 0.7569 |
| 0.5467 | 3.0 | 45 | 0.5471 | 0.7279 | 0.8195 | 0.7737 |
| 0.4866 | 4.0 | 60 | 0.5721 | 0.7426 | 0.8331 | 0.7879 |
| 0.4174 | 5.0 | 75 | 0.5396 | 0.7475 | 0.8303 | 0.7889 |
| 0.3418 | 6.0 | 90 | 0.5986 | 0.75 | 0.8211 | 0.7855 |
| 0.2528 | 7.0 | 105 | 0.6746 | 0.6985 | 0.7593 | 0.7289 |
| 0.1784 | 8.0 | 120 | 0.6922 | 0.7304 | 0.7925 | 0.7614 |
| 0.1522 | 9.0 | 135 | 0.7651 | 0.7574 | 0.8395 | 0.7984 |
| 0.1123 | 10.0 | 150 | 0.7805 | 0.7574 | 0.8308 | 0.7941 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- en
- Created
- Dec 10, 2024
- Updated
- Dec 10, 2024