Downloads · 30 days
10
3% of all-time downloads
telugu-bert
nadellaroshni/telugu-bert
telugu-bert is a text classification model from nadellaroshni. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
310
Public
Parameters
238M
1.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors950 MB · 98%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-4.0
- Model type
- bert
- Access
- Public
- Created
- Jun 17, 2024
- Updated
- Jun 17, 2024
- SHA
- 5ad0ca92
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. -->
telugu-bert
This model is a fine-tuned version of l3cube-pune/telugu-bert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3905
- Accuracy: 0.848
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: 2e-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: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5958 | 1.0 | 625 | 0.4664 | 0.807 |
| 0.4502 | 2.0 | 1250 | 0.3905 | 0.848 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cpu
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-4.0
- Created
- Jun 17, 2024
- Updated
- Jun 17, 2024