Downloads · 30 days
5
2% of all-time downloads
Zidan_model_output_v7
ZidanAf/Zidan_model_output_v7
Zidan_model_output_v7 is a text classification model from ZidanAf. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
214
Public
Parameters
111M
5.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors442 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jun 29, 2024
- Updated
- Jun 29, 2024
- SHA
- bfab649a
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. -->
Zidan_model_output_v7
This model is a fine-tuned version of indolem/indobert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8382
- Accuracy: 0.6455
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: 1e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 220 | 1.0708 | 0.4727 |
| No log | 2.0 | 440 | 0.9895 | 0.5727 |
| 1.0281 | 3.0 | 660 | 0.9433 | 0.6182 |
| 1.0281 | 4.0 | 880 | 0.9145 | 0.6091 |
| 0.8506 | 5.0 | 1100 | 0.8845 | 0.6182 |
| 0.8506 | 6.0 | 1320 | 0.8595 | 0.6455 |
| 0.735 | 7.0 | 1540 | 0.8566 | 0.6455 |
| 0.735 | 8.0 | 1760 | 0.8421 | 0.6455 |
| 0.735 | 9.0 | 1980 | 0.8385 | 0.6545 |
| 0.6855 | 10.0 | 2200 | 0.8430 | 0.6636 |
| 0.6855 | 11.0 | 2420 | 0.8426 | 0.6455 |
| 0.6521 | 12.0 | 2640 | 0.8382 | 0.6455 |
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
- License
- mit
- Created
- Jun 29, 2024
- Updated
- Jun 29, 2024