Downloads · 30 days
15
43% of all-time downloads
tiny_bert_rand_50_v1_qqp
Hartunka/tiny_bert_rand_50_v1_qqp
tiny_bert_rand_50_v1_qqp is a machine learning model from Hartunka. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
All-time downloads
35
Public
Parameters
33M
1.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors132 MB · 99%
At a glance
- Model type
- distilbert
- Access
- Public
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025
- SHA
- 1f6c0c8a
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. -->
tiny_bert_rand_50_v1_qqp
This model is a fine-tuned version of Hartunka/tiny_bert_rand_50_v1 on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.4170
- Accuracy: 0.8145
- F1: 0.7425
- Combined Score: 0.7785
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: 256
- eval_batch_size: 256
- seed: 10
- 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 | F1 | Combined Score |
|---|---|---|---|---|---|---|
| 0.4963 | 1.0 | 1422 | 0.4507 | 0.7839 | 0.6831 | 0.7335 |
| 0.4096 | 2.0 | 2844 | 0.4218 | 0.8030 | 0.7173 | 0.7601 |
| 0.3533 | 3.0 | 4266 | 0.4170 | 0.8145 | 0.7425 | 0.7785 |
| 0.3086 | 4.0 | 5688 | 0.4283 | 0.8168 | 0.7428 | 0.7798 |
| 0.2704 | 5.0 | 7110 | 0.4387 | 0.8230 | 0.7552 | 0.7891 |
| 0.2413 | 6.0 | 8532 | 0.4586 | 0.8187 | 0.7638 | 0.7913 |
| 0.215 | 7.0 | 9954 | 0.4812 | 0.8247 | 0.7647 | 0.7947 |
| 0.193 | 8.0 | 11376 | 0.5111 | 0.8244 | 0.7624 | 0.7934 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.19.1
- Type
- distilbert
- Languages
- en
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025