Downloads · 30 days
4
1% of all-time downloads
distilbert-base-uncased-finetuned-ft500_4class
dminiotas05/distilbert-base-uncased-finetuned-ft500_4class
distilbert-base-uncased-finetuned-ft500_4class is a text classification model from dminiotas05. 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
433
Public
Repo size
804 MB
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
- Jul 1, 2022
- Updated
- Jul 1, 2022
- SHA
- eae38ef0
Try a prompt
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-base-uncased-finetuned-ft500_4class
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: 1.1343
- Accuracy: 0.4853
- F1: 0.4777
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.1837 | 1.0 | 188 | 1.1606 | 0.4313 | 0.4104 |
| 1.0972 | 2.0 | 376 | 1.0929 | 0.488 | 0.4697 |
| 1.0343 | 3.0 | 564 | 1.1017 | 0.4893 | 0.4651 |
| 0.9781 | 4.0 | 752 | 1.1065 | 0.4993 | 0.4900 |
| 0.9346 | 5.0 | 940 | 1.1343 | 0.4853 | 0.4777 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 1, 2022
- Updated
- Jul 1, 2022