Downloads · 30 days
2
7% of all-time downloads
synthetic_training_output_v0
stephanie-jung/synthetic_training_output_v0
synthetic_training_output_v0 is a text classification model from stephanie-jung. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
29
Public
Parameters
109M
438 MB 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
- Model type
- bert
- Access
- Public
- Created
- Jun 25, 2024
- Updated
- Jun 25, 2024
- SHA
- 61e438cd
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. -->
synthetic_training_output_v0
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1271
- Accuracy: 0.9857
- Precision: 0.9727
- Recall: 0.9881
- F1: 0.9803
- Roc Auc: 0.9975
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Roc Auc |
|---|---|---|---|---|---|---|---|---|
| 0.0096 | 2.0 | 250 | 0.1251 | 0.9871 | 0.9728 | 0.9921 | 0.9823 | 0.9976 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jun 25, 2024
- Updated
- Jun 25, 2024