Downloads · 30 days
5
10% of all-time downloads
distilbert-base-multilingual-cased_classification_finetuned_dcard_adptive
Mou11209203/distilbert-base-multilingual-cased_classification_finetuned_dcard_adptive
distilbert-base-multilingual-cased_classification_finetuned_dcard_adptive is a text classification model from Mou11209203. 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
52
Public
Parameters
135M
4.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors541 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Apr 13, 2024
- Updated
- Apr 13, 2024
- SHA
- 88bffd2b
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-multilingual-cased_classification_finetuned_dcard_adptive
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2044
- F1: 0.9611
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: 3e-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: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.3046 | 1.0 | 984 | 0.2773 | 0.8849 |
| 0.1913 | 2.0 | 1968 | 0.2150 | 0.9344 |
| 0.1421 | 3.0 | 2952 | 0.1946 | 0.9449 |
| 0.0938 | 4.0 | 3936 | 0.2217 | 0.9520 |
| 0.0691 | 5.0 | 4920 | 0.2221 | 0.9572 |
| 0.053 | 6.0 | 5904 | 0.2044 | 0.9611 |
| 0.0325 | 7.0 | 6888 | 0.2645 | 0.9546 |
| 0.042 | 8.0 | 7872 | 0.2454 | 0.9606 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 13, 2024
- Updated
- Apr 13, 2024