Downloads · 30 days
21
8% of all-time downloads
hBERTv1_no_pretrain_qnli
gokuls/hBERTv1_no_pretrain_qnli
hBERTv1_no_pretrain_qnli 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
255
Public
Repo size
14 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 29, 2023
- Updated
- Jun 14, 2023
- SHA
- e0fe7971
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_no_pretrain_qnli
This model is a fine-tuned version of on the GLUE QNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.6931
- Accuracy: 0.5054
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: 96
- eval_batch_size: 96
- 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 | Accuracy |
|---|---|---|---|---|
| 0.7059 | 1.0 | 1092 | 0.7004 | 0.5054 |
| 0.6948 | 2.0 | 2184 | 0.6938 | 0.4946 |
| 0.6939 | 3.0 | 3276 | 0.6932 | 0.5054 |
| 0.6936 | 4.0 | 4368 | 0.6931 | 0.5054 |
| 0.6934 | 5.0 | 5460 | 0.6931 | 0.5054 |
| 0.6936 | 6.0 | 6552 | 0.6931 | 0.5054 |
| 0.6933 | 7.0 | 7644 | 0.6931 | 0.5054 |
| 0.6933 | 8.0 | 8736 | 0.6931 | 0.5054 |
| 0.6934 | 9.0 | 9828 | 0.6934 | 0.5054 |
| 0.6933 | 10.0 | 10920 | 0.6931 | 0.5054 |
| 0.6932 | 11.0 | 12012 | 0.6933 | 0.4946 |
| 0.6932 | 12.0 | 13104 | 0.6931 | 0.5054 |
| 0.6933 | 13.0 | 14196 | 0.6931 | 0.5054 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- hybridbert
- Languages
- en
- Created
- May 29, 2023
- Updated
- Jun 14, 2023