Downloads · 30 days
4
20% of all-time downloads
distilbert_sst5_padding40model
Realgon/distilbert_sst5_padding40model
distilbert_sst5_padding40model is a text classification model from Realgon. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
20
Public
Repo size
5.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Nov 28, 2023
- Updated
- Nov 29, 2023
- SHA
- c320d3cd
Try a prompt
Base models
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_sst5_padding40model
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.1102
- Accuracy: 0.5032
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2973 | 1.0 | 534 | 1.2639 | 0.4226 |
| 1.0311 | 2.0 | 1068 | 1.1147 | 0.5122 |
| 0.8351 | 3.0 | 1602 | 1.2030 | 0.5086 |
| 0.68 | 4.0 | 2136 | 1.3100 | 0.5213 |
| 0.5243 | 5.0 | 2670 | 1.5365 | 0.4995 |
| 0.3959 | 6.0 | 3204 | 1.7658 | 0.4946 |
| 0.304 | 7.0 | 3738 | 1.9953 | 0.5050 |
| 0.2223 | 8.0 | 4272 | 2.1893 | 0.4991 |
| 0.1758 | 9.0 | 4806 | 2.5567 | 0.4986 |
| 0.1431 | 10.0 | 5340 | 2.8571 | 0.4982 |
| 0.1208 | 11.0 | 5874 | 3.0516 | 0.5027 |
| 0.1104 | 12.0 | 6408 | 3.3050 | 0.5095 |
| 0.0792 | 13.0 | 6942 | 3.5054 | 0.5014 |
| 0.0761 | 14.0 | 7476 | 3.6607 | 0.5009 |
| 0.0447 | 15.0 | 8010 | 3.8772 | 0.5032 |
| 0.0377 | 16.0 | 8544 | 3.9335 | 0.5050 |
| 0.0297 | 17.0 | 9078 | 4.0339 | 0.5059 |
| 0.0255 | 18.0 | 9612 | 4.0308 | 0.5095 |
| 0.0258 | 19.0 | 10146 | 4.0368 | 0.5086 |
| 0.0182 | 20.0 | 10680 | 4.1102 | 0.5032 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 28, 2023
- Updated
- Nov 29, 2023