Downloads · 30 days
3
5% of all-time downloads
bert_uncased_L-2_H-256_A-4_cola
gokulsrinivasagan/bert_uncased_L-2_H-256_A-4_cola
bert_uncased_L-2_H-256_A-4_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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
60
Public
Parameters
9.6M
154 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors38.4 MB · 98%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024
- SHA
- 6bdef94a
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_uncased_L-2_H-256_A-4_cola
This model is a fine-tuned version of google/bert_uncased_L-2_H-256_A-4 on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.6078
- Matthews Correlation: 0.0
- Accuracy: 0.6913
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 |
|---|---|---|---|---|---|
| 0.6144 | 1.0 | 34 | 0.6150 | 0.0 | 0.6913 |
| 0.6036 | 2.0 | 68 | 0.6160 | 0.0 | 0.6913 |
| 0.5981 | 3.0 | 102 | 0.6136 | 0.0 | 0.6913 |
| 0.5876 | 4.0 | 136 | 0.6078 | 0.0 | 0.6913 |
| 0.5762 | 5.0 | 170 | 0.6084 | 0.0549 | 0.6913 |
| 0.5546 | 6.0 | 204 | 0.6115 | 0.1563 | 0.6980 |
| 0.533 | 7.0 | 238 | 0.6301 | 0.1339 | 0.6961 |
| 0.5116 | 8.0 | 272 | 0.6459 | 0.1041 | 0.6846 |
| 0.4936 | 9.0 | 306 | 0.6675 | 0.1149 | 0.6894 |
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
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024