Downloads · 30 days
4
9% of all-time downloads
experiment_labels_4epochs
ADS509/experiment_labels_4epochs
experiment_labels_4epochs is a text classification model from ADS509. 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
45
Public
Parameters
109M
2.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Feb 16, 2026
- Updated
- Feb 16, 2026
- SHA
- 334a9258
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. -->
experiment_labels_4epochs
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: 0.6831
- Accuracy: 0.7612
- F1 Macro: 0.7386
- F1 Weighted: 0.7600
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted |
|---|---|---|---|---|---|---|
| 0.6715 | 1.0 | 628 | 0.6350 | 0.7549 | 0.7283 | 0.7553 |
| 0.5086 | 2.0 | 1256 | 0.6271 | 0.7584 | 0.7372 | 0.7565 |
| 0.3358 | 3.0 | 1884 | 0.6827 | 0.7610 | 0.7377 | 0.7598 |
| 0.2106 | 4.0 | 2512 | 0.7556 | 0.7575 | 0.7339 | 0.7575 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Feb 16, 2026
- Updated
- Feb 16, 2026