Downloads · 30 days
8
20% of all-time downloads
bert_uncased_L-2_H-256_A-4_sst2
gokulsrinivasagan/bert_uncased_L-2_H-256_A-4_sst2
bert_uncased_L-2_H-256_A-4_sst2 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
40
Public
Parameters
9.6M
269 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
- e79e9a25
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_sst2
This model is a fine-tuned version of google/bert_uncased_L-2_H-256_A-4 on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4074
- Accuracy: 0.8211
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 |
|---|---|---|---|---|
| 0.4405 | 1.0 | 264 | 0.4195 | 0.8096 |
| 0.2935 | 2.0 | 528 | 0.4074 | 0.8211 |
| 0.2371 | 3.0 | 792 | 0.4241 | 0.8291 |
| 0.2044 | 4.0 | 1056 | 0.4573 | 0.8291 |
| 0.1805 | 5.0 | 1320 | 0.4635 | 0.8268 |
| 0.163 | 6.0 | 1584 | 0.4915 | 0.8326 |
| 0.1486 | 7.0 | 1848 | 0.5187 | 0.8326 |
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