Downloads · 30 days
2
6% of all-time downloads
Trial3BERT_AugV8_k5_task1_organization_sp020_lw030_fold4
genki10/Trial3BERT_AugV8_k5_task1_organization_sp020_lw030_fold4
Trial3BERT_AugV8_k5_task1_organization_sp020_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
35
Public
Repo size
13.1 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
- 0b9cc0cd
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_k5_task1_organization_sp020_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: 0.9696
- Qwk: 0.4141
- Mse: 0.9696
- Rmse: 0.9847
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 | 4 | 6.8404 | 0.0 | 6.8404 | 2.6154 |
| No log | 2.0 | 8 | 3.8751 | 0.0040 | 3.8751 | 1.9685 |
| No log | 3.0 | 12 | 2.3569 | 0.0952 | 2.3569 | 1.5352 |
| No log | 4.0 | 16 | 1.4244 | 0.0316 | 1.4244 | 1.1935 |
| No log | 5.0 | 20 | 0.9392 | 0.0212 | 0.9392 | 0.9691 |
| No log | 6.0 | 24 | 1.3330 | 0.0585 | 1.3330 | 1.1545 |
| No log | 7.0 | 28 | 0.8416 | 0.2010 | 0.8416 | 0.9174 |
| No log | 8.0 | 32 | 0.9511 | 0.1328 | 0.9511 | 0.9752 |
| No log | 9.0 | 36 | 1.4229 | 0.2184 | 1.4229 | 1.1929 |
| No log | 10.0 | 40 | 0.7601 | 0.5153 | 0.7601 | 0.8718 |
| No log | 11.0 | 44 | 1.2328 | 0.3474 | 1.2328 | 1.1103 |
| No log | 12.0 | 48 | 1.6695 | 0.3009 | 1.6695 | 1.2921 |
| No log | 13.0 | 52 | 1.5250 | 0.3456 | 1.5250 | 1.2349 |
| No log | 14.0 | 56 | 1.4133 | 0.3693 | 1.4133 | 1.1888 |
| No log | 15.0 | 60 | 1.2843 | 0.4014 | 1.2843 | 1.1333 |
| No log | 16.0 | 64 | 1.8454 | 0.2485 | 1.8454 | 1.3585 |
| No log | 17.0 | 68 | 1.0391 | 0.4379 | 1.0391 | 1.0194 |
| No log | 18.0 | 72 | 1.0739 | 0.4136 | 1.0739 | 1.0363 |
| No log | 19.0 | 76 | 1.1992 | 0.3593 | 1.1992 | 1.0951 |
| No log | 20.0 | 80 | 0.9410 | 0.4428 | 0.9410 | 0.9700 |
| No log | 21.0 | 84 | 1.1472 | 0.3736 | 1.1472 | 1.0711 |
| No log | 22.0 | 88 | 0.8691 | 0.4436 | 0.8691 | 0.9323 |
| No log | 23.0 | 92 | 1.0492 | 0.3651 | 1.0492 | 1.0243 |
| No log | 24.0 | 96 | 1.1443 | 0.3555 | 1.1443 | 1.0697 |
| No log | 25.0 | 100 | 0.9696 | 0.4141 | 0.9696 | 0.9847 |
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