Downloads · 30 days
12
32% of all-time downloads
distilbert_km_10_v1_stsb
Hartunka/distilbert_km_10_v1_stsb
distilbert_km_10_v1_stsb is a text classification model from Hartunka. 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
37
Public
Parameters
67M
804 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Apr 14, 2025
- Updated
- Apr 14, 2025
- SHA
- e2899b92
Try a prompt
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. -->
distilbert_km_10_v1_stsb
This model is a fine-tuned version of Hartunka/distilbert_km_10_v1 on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 2.2226
- Pearson: 0.1878
- Spearmanr: 0.1731
- Combined Score: 0.1804
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
|---|---|---|---|---|---|---|
| 2.9054 | 1.0 | 23 | 2.2226 | 0.1878 | 0.1731 | 0.1804 |
| 1.9443 | 2.0 | 46 | 2.3643 | 0.2239 | 0.2038 | 0.2139 |
| 1.6962 | 3.0 | 69 | 2.3195 | 0.2373 | 0.2300 | 0.2337 |
| 1.3248 | 4.0 | 92 | 2.2913 | 0.2778 | 0.2787 | 0.2783 |
| 0.9649 | 5.0 | 115 | 2.6289 | 0.2679 | 0.2579 | 0.2629 |
| 0.6945 | 6.0 | 138 | 2.6541 | 0.2831 | 0.2754 | 0.2793 |
Framework versions
- Transformers 4.50.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- en
- Created
- Apr 14, 2025
- Updated
- Apr 14, 2025