Downloads · 30 days
6
26% of all-time downloads
distilbert-base-uncased-allemo3
cha5yn/distilbert-base-uncased-allemo3
distilbert-base-uncased-allemo3 is a text classification model from cha5yn. 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
23
Public
Parameters
67M
6.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Dec 7, 2024
- Updated
- Dec 8, 2024
- SHA
- 05fb8937
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. -->
distilbert-base-uncased-allemo3
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6839
- Accuracy: 0.4528
- F1: 0.4424
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: 1024
- eval_batch_size: 1024
- seed: 73939133
- optimizer: Use OptimizerNames.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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 253 | 1.7546 | 0.4397 | 0.4237 |
| 1.888 | 2.0 | 506 | 1.6975 | 0.4496 | 0.4391 |
| 1.888 | 3.0 | 759 | 1.6856 | 0.4520 | 0.4401 |
| 1.6447 | 4.0 | 1012 | 1.6839 | 0.4528 | 0.4424 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 7, 2024
- Updated
- Dec 8, 2024