Downloads · 30 days
4
8% of all-time downloads
distilbert-base-uncased-finetuned-ft1500_norm1000
dminiotas05/distilbert-base-uncased-finetuned-ft1500_norm1000
distilbert-base-uncased-finetuned-ft1500_norm1000 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
52
Public
Repo size
1.1 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
- Aug 4, 2022
- Updated
- Aug 4, 2022
- SHA
- 3afb70ae
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-ft1500_norm1000
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: 1.0875
- Mse: 1.3594
- Mae: 0.5794
- R2: 0.3573
- Accuracy: 0.7015
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: 4
- eval_batch_size: 4
- 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 | Mse | Mae | R2 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.8897 | 1.0 | 3122 | 1.0463 | 1.3078 | 0.5936 | 0.3817 | 0.7008 |
| 0.7312 | 2.0 | 6244 | 1.0870 | 1.3588 | 0.5796 | 0.3576 | 0.7002 |
| 0.5348 | 3.0 | 9366 | 1.1056 | 1.3820 | 0.5786 | 0.3467 | 0.7124 |
| 0.3693 | 4.0 | 12488 | 1.0866 | 1.3582 | 0.5854 | 0.3579 | 0.7053 |
| 0.2848 | 5.0 | 15610 | 1.0875 | 1.3594 | 0.5794 | 0.3573 | 0.7015 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 4, 2022
- Updated
- Aug 4, 2022