Downloads · 30 days
11
19% of all-time downloads
canine_sent_2604v4
Buseak/canine_sent_2604v4
canine_sent_2604v4 is a token classification model from Buseak. 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
59
Public
Repo size
8.5 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin529 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- canine
- Access
- Public
- Created
- Apr 26, 2023
- Updated
- Apr 26, 2023
- SHA
- 89a85137
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. -->
canine_sent_2604v4
This model is a fine-tuned version of google/canine-s on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 1.0
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 390 | 0.0036 | 0.0 | 0.0 | 0.0 | 0.9988 |
| 0.0161 | 2.0 | 780 | 0.0022 | 0.0 | 0.0 | 0.0 | 0.9993 |
| 0.0037 | 3.0 | 1170 | 0.0009 | 0.0 | 0.0 | 0.0 | 0.9997 |
| 0.0022 | 4.0 | 1560 | 0.0010 | 0.0 | 0.0 | 0.0 | 0.9997 |
| 0.0022 | 5.0 | 1950 | 0.0005 | 0.0 | 0.0 | 0.0 | 0.9999 |
| 0.0015 | 6.0 | 2340 | 0.0001 | 0.0 | 0.0 | 0.0 | 1.0000 |
| 0.0008 | 7.0 | 2730 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.9999 |
| 0.0006 | 8.0 | 3120 | 0.0002 | 0.0 | 0.0 | 0.0 | 1.0000 |
| 0.0005 | 9.0 | 3510 | 0.0000 | 0.0 | 0.0 | 0.0 | 1.0 |
| 0.0005 | 10.0 | 3900 | 0.0000 | 0.0 | 0.0 | 0.0 | 1.0000 |
| 0.0003 | 11.0 | 4290 | 0.0000 | 0.0 | 0.0 | 0.0 | 1.0000 |
| 0.0002 | 12.0 | 4680 | 0.0000 | 0.0 | 0.0 | 0.0 | 1.0000 |
| 0.0002 | 13.0 | 5070 | 0.0000 | 0.0 | 0.0 | 0.0 | 1.0 |
| 0.0002 | 14.0 | 5460 | 0.0000 | 0.0 | 0.0 | 0.0 | 1.0 |
| 0.0001 | 15.0 | 5850 | 0.0000 | 0.0 | 0.0 | 0.0 | 1.0 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- canine
- License
- apache-2.0
- Created
- Apr 26, 2023
- Updated
- Apr 26, 2023