Downloads · 30 days
10
19% of all-time downloads
robbert1010_lrate7.5b8
Tommert25/robbert1010_lrate7.5b8
robbert1010_lrate7.5b8 is a token classification model from Tommert25. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
54
Public
Repo size
5.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin465 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Oct 10, 2023
- Updated
- Oct 10, 2023
- SHA
- 9179c9a3
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. -->
robbert1010_lrate7.5b8
This model is a fine-tuned version of Tommert25/robbert1010_lrate7.5b8 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6507
- Precisions: 0.8092
- Recall: 0.7854
- F-measure: 0.7957
- Accuracy: 0.9171
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: 7.5e-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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0839 | 1.0 | 471 | 0.5608 | 0.8220 | 0.7659 | 0.7824 | 0.9082 |
| 0.0762 | 2.0 | 942 | 0.5485 | 0.8290 | 0.7683 | 0.7743 | 0.9086 |
| 0.0412 | 3.0 | 1413 | 0.6303 | 0.7841 | 0.7745 | 0.7780 | 0.9090 |
| 0.0352 | 4.0 | 1884 | 0.6346 | 0.7978 | 0.7831 | 0.7893 | 0.9109 |
| 0.0251 | 5.0 | 2355 | 0.6494 | 0.7956 | 0.7878 | 0.7911 | 0.9138 |
| 0.0138 | 6.0 | 2826 | 0.6507 | 0.8092 | 0.7854 | 0.7957 | 0.9171 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Oct 10, 2023
- Updated
- Oct 10, 2023