Downloads · 30 days
26
46% of all-time downloads
bert_tiny_lda_100_v1_book_cola
gokulsrinivasagan/bert_tiny_lda_100_v1_book_cola
bert_tiny_lda_100_v1_book_cola 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
56
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
- Model type
- distilbert
- Access
- Public
- Created
- Dec 10, 2024
- Updated
- Dec 10, 2024
- SHA
- 252735ba
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_cola
This model is a fine-tuned version of gokulsrinivasagan/bert_tiny_lda_100_v1_book on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.5875
- Matthews Correlation: 0.1996
- Accuracy: 0.6932
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 | Matthews Correlation | Accuracy |
|---|---|---|---|---|---|
| 0.6112 | 1.0 | 34 | 0.6112 | 0.0 | 0.6913 |
| 0.5906 | 2.0 | 68 | 0.5992 | 0.0844 | 0.6951 |
| 0.5465 | 3.0 | 102 | 0.5875 | 0.1996 | 0.6932 |
| 0.4903 | 4.0 | 136 | 0.5887 | 0.1992 | 0.6913 |
| 0.4275 | 5.0 | 170 | 0.6417 | 0.2174 | 0.7095 |
| 0.3786 | 6.0 | 204 | 0.6495 | 0.2711 | 0.7210 |
| 0.3295 | 7.0 | 238 | 0.6801 | 0.2401 | 0.7028 |
| 0.2891 | 8.0 | 272 | 0.7395 | 0.2701 | 0.7152 |
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