Downloads · 30 days
4
11% of all-time downloads
trained_baseline
annamariagnat/trained_baseline
trained_baseline is a token classification model from annamariagnat. 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
36
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
- Apr 23, 2024
- Updated
- Apr 23, 2024
- SHA
- 9ee72674
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. -->
trained_baseline
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: 0.0834
- Precision: 0.7505
- Recall: 0.7625
- F1: 0.7565
- Accuracy: 0.9782
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1292 | 1.0 | 784 | 0.0785 | 0.6897 | 0.7603 | 0.7233 | 0.9755 |
| 0.0321 | 2.0 | 1568 | 0.0778 | 0.7370 | 0.7691 | 0.7527 | 0.9776 |
| 0.0211 | 3.0 | 2352 | 0.0834 | 0.7505 | 0.7625 | 0.7565 | 0.9782 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 23, 2024
- Updated
- Apr 23, 2024