Downloads · 30 days
4
2% of all-time downloads
hbertv1-Massive-intent
gokuls/hbertv1-Massive-intent
hbertv1-Massive-intent 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
206
Public
Repo size
1.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin481 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- hybridbert
- Access
- Public
- Created
- Jun 19, 2023
- Updated
- Jun 19, 2023
- SHA
- d2cb4747
Try a prompt
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-Massive-intent
This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new on the massive dataset. It achieves the following results on the evaluation set:
- Loss: 0.8959
- Accuracy: 0.8451
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 |
|---|---|---|---|---|
| 3.051 | 1.0 | 180 | 1.8409 | 0.4968 |
| 1.3906 | 2.0 | 360 | 1.0234 | 0.7167 |
| 0.8613 | 3.0 | 540 | 0.8787 | 0.7688 |
| 0.6447 | 4.0 | 720 | 0.8405 | 0.7811 |
| 0.4955 | 5.0 | 900 | 0.8426 | 0.7850 |
| 0.3899 | 6.0 | 1080 | 0.7777 | 0.8175 |
| 0.3052 | 7.0 | 1260 | 0.7779 | 0.8175 |
| 0.2413 | 8.0 | 1440 | 0.8294 | 0.8254 |
| 0.196 | 9.0 | 1620 | 0.8265 | 0.8214 |
| 0.1545 | 10.0 | 1800 | 0.8361 | 0.8362 |
| 0.1177 | 11.0 | 1980 | 0.8470 | 0.8288 |
| 0.0894 | 12.0 | 2160 | 0.8706 | 0.8283 |
| 0.0666 | 13.0 | 2340 | 0.8853 | 0.8392 |
| 0.0447 | 14.0 | 2520 | 0.8959 | 0.8451 |
| 0.0312 | 15.0 | 2700 | 0.8982 | 0.8441 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.13.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- hybridbert
- Created
- Jun 19, 2023
- Updated
- Jun 19, 2023