Downloads · 30 days
11
16% of all-time downloads
learn_hf_food_not_food_text_classifier-distilbert-based-uncased
FanChum360/learn_hf_food_not_food_text_classifier-distilbert-based-uncased
learn_hf_food_not_food_text_classifier-distilbert-based-uncased is a text classification model from FanChum360. 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
70
Public
Parameters
67M
1.3 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
- Aug 11, 2025
- Updated
- Aug 13, 2025
- SHA
- 4bc1e578
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. -->
learn_hf_food_not_food_text_classifier-distilbert-based-uncased
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7148
- Accuracy: 0.34
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: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8489 | 1.0 | 7 | 0.9242 | 0.34 |
| 0.7499 | 2.0 | 14 | 1.1023 | 0.34 |
| 0.7535 | 3.0 | 21 | 0.6507 | 0.66 |
| 0.7099 | 4.0 | 28 | 0.7883 | 0.34 |
| 0.7199 | 5.0 | 35 | 0.7718 | 0.14 |
| 0.7188 | 6.0 | 42 | 0.6527 | 0.66 |
| 0.7008 | 7.0 | 49 | 0.7611 | 0.34 |
| 0.733 | 8.0 | 56 | 0.7927 | 0.34 |
| 0.6979 | 9.0 | 63 | 0.7187 | 0.34 |
| 0.6758 | 10.0 | 70 | 0.7148 | 0.34 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 11, 2025
- Updated
- Aug 13, 2025