Downloads · 30 days
13
20% of all-time downloads
distilbert-p1
wnic00/distilbert-p1
distilbert-p1 is a text classification model from wnic00. 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
66
Public
Repo size
3.2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin541 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Nov 21, 2023
- Updated
- Nov 23, 2023
- SHA
- d2f35f89
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-p1
This model is a fine-tuned version of lxyuan/distilbert-base-multilingual-cased-sentiments-student on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9133
- Accuracy: 0.6886
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|
| 0.8541 | 1.0 | 980 | 0.8014 | 0.6427 |
| 0.6234 | 2.0 | 1960 | 0.7888 | 0.6733 |
| 0.4153 | 3.0 | 2940 | 1.0769 | 0.6799 |
| 0.2386 | 4.0 | 3920 | 1.6601 | 0.6861 |
| 0.1176 | 5.0 | 4900 | 1.9133 | 0.6886 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cpu
- Datasets 2.14.4
- Tokenizers 0.13.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 21, 2023
- Updated
- Nov 23, 2023