Downloads · 30 days
12
6% of all-time downloads
hBERTv2_new_pretrain_w_init_48_stsb
gokuls/hBERTv2_new_pretrain_w_init_48_stsb
hBERTv2_new_pretrain_w_init_48_stsb 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
214
Public
Repo size
1.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin477 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- hybridbert
- Access
- Public
- Created
- Jun 6, 2023
- Updated
- Jun 6, 2023
- SHA
- 742c7a46
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. -->
hBERTv2_new_pretrain_w_init_48_stsb
This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new_wt_init_48 on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 2.2569
- Pearson: 0.2426
- Spearmanr: 0.2503
- Combined Score: 0.2465
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: 4e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
|---|---|---|---|---|---|---|
| 2.3064 | 1.0 | 45 | 2.2784 | 0.1492 | 0.1433 | 0.1462 |
| 1.9454 | 2.0 | 90 | 2.2773 | 0.2660 | 0.2546 | 0.2603 |
| 1.7733 | 3.0 | 135 | 2.2569 | 0.2426 | 0.2503 | 0.2465 |
| 1.4752 | 4.0 | 180 | 2.3395 | 0.2833 | 0.3025 | 0.2929 |
| 1.083 | 5.0 | 225 | 2.4140 | 0.3017 | 0.3066 | 0.3042 |
| 0.8694 | 6.0 | 270 | 2.8854 | 0.2790 | 0.3025 | 0.2908 |
| 0.7272 | 7.0 | 315 | 2.8901 | 0.3041 | 0.3066 | 0.3054 |
| 0.6008 | 8.0 | 360 | 2.6252 | 0.2837 | 0.2833 | 0.2835 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- hybridbert
- Languages
- en
- Created
- Jun 6, 2023
- Updated
- Jun 6, 2023