Downloads · 30 days
7
28% of all-time downloads
dbbuc_30p
lilzzz/dbbuc_30p
dbbuc_30p is a token classification model from lilzzz. Use it when you need labels on individual words, such as names. 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
25
Public
Parameters
66.4M
265 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors265 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- May 8, 2024
- Updated
- May 8, 2024
- SHA
- e68f0261
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. -->
dbbuc_30p
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1597
- Precision: 0.5256
- Recall: 0.5222
- F1: 0.5239
- Accuracy: 0.9675
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: 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 267 | 0.1502 | 0.3872 | 0.3270 | 0.3546 | 0.9595 |
| 0.1891 | 2.0 | 534 | 0.1349 | 0.4992 | 0.4825 | 0.4907 | 0.9650 |
| 0.1891 | 3.0 | 801 | 0.1412 | 0.4708 | 0.5254 | 0.4966 | 0.9642 |
| 0.056 | 4.0 | 1068 | 0.1539 | 0.5055 | 0.5143 | 0.5098 | 0.9667 |
| 0.056 | 5.0 | 1335 | 0.1597 | 0.5256 | 0.5222 | 0.5239 | 0.9675 |
Framework versions
- Transformers 4.39.0
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.15.2
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 8, 2024
- Updated
- May 8, 2024