Downloads · 30 days
3
5% of all-time downloads
albert-base-v2-finetuned-TRAC-DS
IIIT-L/albert-base-v2-finetuned-TRAC-DS
albert-base-v2-finetuned-TRAC-DS is a text classification model from IIIT-L. 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
63
Public
Repo size
234 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin46.8 MB · 95%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- albert
- Access
- Public
- Created
- Sep 7, 2022
- Updated
- Sep 7, 2022
- SHA
- 73ee7dc3
Try a prompt
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. -->
albert-base-v2-finetuned-TRAC-DS
This model is a fine-tuned version of albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8271
- Accuracy: 0.6315
- Precision: 0.6206
- Recall: 0.6201
- F1: 0.6147
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: 5.919508251872584e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 43
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.0373 | 1.0 | 612 | 1.1241 | 0.3627 | 0.5914 | 0.3618 | 0.2414 |
| 1.0617 | 2.0 | 1224 | 1.1039 | 0.3350 | 0.2781 | 0.3354 | 0.1740 |
| 0.9791 | 3.0 | 1836 | 0.8365 | 0.5989 | 0.6192 | 0.5887 | 0.5883 |
| 0.798 | 3.99 | 2448 | 0.8271 | 0.6315 | 0.6206 | 0.6201 | 0.6147 |
Framework versions
- Transformers 4.21.3
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- albert
- License
- apache-2.0
- Created
- Sep 7, 2022
- Updated
- Sep 7, 2022