Downloads · 30 days
4
21% of all-time downloads
food_distill_bert_base_uncased_v2
noelsinghsr/food_distill_bert_base_uncased_v2
food_distill_bert_base_uncased_v2 is a text classification model from noelsinghsr. 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
19
Public
Parameters
67M
268 MB 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
- Oct 16, 2024
- Updated
- Oct 16, 2024
- SHA
- c5fa994e
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. -->
food_distill_bert_base_uncased_v2
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: 0.0005
- Accuracy: 1.0
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3856 | 1.0 | 7 | 0.0687 | 1.0 |
| 0.0279 | 2.0 | 14 | 0.0104 | 1.0 |
| 0.0051 | 3.0 | 21 | 0.0018 | 1.0 |
| 0.0017 | 4.0 | 28 | 0.0011 | 1.0 |
| 0.0011 | 5.0 | 35 | 0.0023 | 1.0 |
| 0.0007 | 6.0 | 42 | 0.0010 | 1.0 |
| 0.0006 | 7.0 | 49 | 0.0007 | 1.0 |
| 0.0006 | 8.0 | 56 | 0.0006 | 1.0 |
| 0.0005 | 9.0 | 63 | 0.0005 | 1.0 |
| 0.0005 | 10.0 | 70 | 0.0005 | 1.0 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 16, 2024
- Updated
- Oct 16, 2024