Downloads · 30 days
7
13% of all-time downloads
HBERTv1_48_L10_H768_A12_massive
gokuls/HBERTv1_48_L10_H768_A12_massive
HBERTv1_48_L10_H768_A12_massive is a text classification model from gokuls. 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
53
Public
Repo size
1.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin417 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- hybridbert
- Access
- Public
- Created
- Oct 4, 2023
- Updated
- Oct 4, 2023
- SHA
- 822c204e
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. -->
HBERTv1_48_L10_H768_A12_massive
This model is a fine-tuned version of gokuls/HBERTv1_48_L10_H768_A12 on the massive dataset. It achieves the following results on the evaluation set:
- Loss: 0.8249
- Accuracy: 0.8623
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: 64
- eval_batch_size: 64
- seed: 33
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.923 | 1.0 | 180 | 0.8820 | 0.7595 |
| 0.7644 | 2.0 | 360 | 0.7177 | 0.8087 |
| 0.5434 | 3.0 | 540 | 0.6450 | 0.8352 |
| 0.392 | 4.0 | 720 | 0.6084 | 0.8515 |
| 0.2895 | 5.0 | 900 | 0.6436 | 0.8441 |
| 0.2245 | 6.0 | 1080 | 0.6745 | 0.8510 |
| 0.1599 | 7.0 | 1260 | 0.7248 | 0.8465 |
| 0.1185 | 8.0 | 1440 | 0.7497 | 0.8490 |
| 0.0914 | 9.0 | 1620 | 0.7286 | 0.8564 |
| 0.0638 | 10.0 | 1800 | 0.7846 | 0.8583 |
| 0.0468 | 11.0 | 1980 | 0.7941 | 0.8569 |
| 0.0284 | 12.0 | 2160 | 0.7986 | 0.8569 |
| 0.0139 | 13.0 | 2340 | 0.8076 | 0.8588 |
| 0.0083 | 14.0 | 2520 | 0.8281 | 0.8598 |
| 0.005 | 15.0 | 2700 | 0.8249 | 0.8623 |
Framework versions
- Transformers 4.34.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.14.0
- Task
- Text Classification
- Library
- transformers
- Type
- hybridbert
- Created
- Oct 4, 2023
- Updated
- Oct 4, 2023