Downloads · 30 days
11
4% of all-time downloads
hBERTv1_new_pretrain_w_init__stsb
gokuls/hBERTv1_new_pretrain_w_init__stsb
hBERTv1_new_pretrain_w_init__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
251
Public
Repo size
2.4 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
- May 31, 2023
- Updated
- Jun 6, 2023
- SHA
- 255b48c0
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_new_pretrain_w_init__stsb
This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new_wt_init on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 2.2584
- Pearson: 0.0949
- Spearmanr: 0.0892
- Combined Score: 0.0920
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 |
|---|---|---|---|---|---|---|
| 2.5056 | 1.0 | 45 | 2.2584 | 0.0949 | 0.0892 | 0.0920 |
| 2.1254 | 2.0 | 90 | 2.6871 | 0.1250 | 0.1231 | 0.1241 |
| 1.9839 | 3.0 | 135 | 2.2709 | 0.1790 | 0.1840 | 0.1815 |
| 1.6299 | 4.0 | 180 | 2.5115 | 0.2691 | 0.2797 | 0.2744 |
| 1.3155 | 5.0 | 225 | 2.4555 | 0.3453 | 0.3437 | 0.3445 |
| 0.9686 | 6.0 | 270 | 2.8004 | 0.4571 | 0.4406 | 0.4489 |
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
- May 31, 2023
- Updated
- Jun 6, 2023