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results
JT000/results
results is a text classification model from JT000. 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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 13, 2024
- Updated
- Jun 13, 2024
- SHA
- 0ed24973
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. -->
results
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1419
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: 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 136 | 1.1210 |
| No log | 2.0 | 272 | 1.0574 |
| No log | 3.0 | 408 | 0.9729 |
| 1.0549 | 4.0 | 544 | 0.9303 |
| 1.0549 | 5.0 | 680 | 1.0540 |
| 1.0549 | 6.0 | 816 | 0.9554 |
| 1.0549 | 7.0 | 952 | 0.9421 |
| 0.7477 | 8.0 | 1088 | 0.9487 |
| 0.7477 | 9.0 | 1224 | 0.9906 |
| 0.7477 | 10.0 | 1360 | 0.9886 |
| 0.7477 | 11.0 | 1496 | 1.0735 |
| 0.6724 | 12.0 | 1632 | 1.1419 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 13, 2024
- Updated
- Jun 13, 2024