Downloads · 30 days
2
9% of all-time downloads
Trial3BERT_AugV8_k7_task1_organization_sp010_lw030_fold4
genki10/Trial3BERT_AugV8_k7_task1_organization_sp010_lw030_fold4
Trial3BERT_AugV8_k7_task1_organization_sp010_lw030_fold4 is a text classification model from genki10. 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
22
Public
Repo size
10.5 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin876 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Apr 8, 2025
- Updated
- Apr 8, 2025
- SHA
- 7c78eb41
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. -->
Trial3BERT_AugV8_k7_task1_organization_sp010_lw030_fold4
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1510
- Qwk: 0.2874
- Mse: 1.1510
- Rmse: 1.0729
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 150
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 1.0 | 5 | 5.7174 | 0.0560 | 5.7174 | 2.3911 |
| No log | 2.0 | 10 | 2.9301 | 0.0040 | 2.9301 | 1.7118 |
| No log | 3.0 | 15 | 1.5207 | 0.0316 | 1.5207 | 1.2332 |
| No log | 4.0 | 20 | 0.8956 | 0.2903 | 0.8956 | 0.9463 |
| No log | 5.0 | 25 | 1.0647 | 0.0420 | 1.0647 | 1.0319 |
| No log | 6.0 | 30 | 0.7810 | 0.3979 | 0.7810 | 0.8837 |
| No log | 7.0 | 35 | 1.2380 | 0.1644 | 1.2380 | 1.1127 |
| No log | 8.0 | 40 | 1.0602 | 0.2315 | 1.0602 | 1.0296 |
| No log | 9.0 | 45 | 1.2372 | 0.2685 | 1.2372 | 1.1123 |
| No log | 10.0 | 50 | 0.9273 | 0.3350 | 0.9273 | 0.9629 |
| No log | 11.0 | 55 | 1.0780 | 0.3013 | 1.0780 | 1.0383 |
| No log | 12.0 | 60 | 1.1087 | 0.3175 | 1.1087 | 1.0530 |
| No log | 13.0 | 65 | 1.7052 | 0.2097 | 1.7052 | 1.3058 |
| No log | 14.0 | 70 | 1.8551 | 0.1544 | 1.8551 | 1.3620 |
| No log | 15.0 | 75 | 1.3121 | 0.2756 | 1.3121 | 1.1455 |
| No log | 16.0 | 80 | 1.6113 | 0.2228 | 1.6113 | 1.2694 |
| No log | 17.0 | 85 | 2.5426 | 0.0936 | 2.5426 | 1.5945 |
| No log | 18.0 | 90 | 0.9030 | 0.3734 | 0.9030 | 0.9503 |
| No log | 19.0 | 95 | 1.6901 | 0.2130 | 1.6901 | 1.3000 |
| No log | 20.0 | 100 | 1.1930 | 0.2837 | 1.1930 | 1.0923 |
| No log | 21.0 | 105 | 1.1510 | 0.2874 | 1.1510 | 1.0729 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 8, 2025
- Updated
- Apr 8, 2025