Downloads · 30 days
5
16% of all-time downloads
Paraphrase_mahaBertV2_onfull_FT_final
Abhi964/Paraphrase_mahaBertV2_onfull_FT_final
Paraphrase_mahaBertV2_onfull_FT_final is a text classification model from Abhi964. 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
32
Public
Parameters
238M
950 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors950 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-4.0
- Model type
- bert
- Access
- Public
- Created
- Aug 10, 2025
- Updated
- Aug 10, 2025
- SHA
- d9b95c3f
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. -->
Paraphrase_mahaBertV2_onfull_FT_final
This model is a fine-tuned version of l3cube-pune/marathi-bert-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7004
- Accuracy: 0.8785
- F1: 0.8785
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: 3.071612190396073e-05
- train_batch_size: 8
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 9
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3344 | 1.0 | 625 | 0.6077 | 0.7395 | 0.7232 |
| 0.3557 | 2.0 | 1250 | 0.3995 | 0.865 | 0.8649 |
| 0.2871 | 3.0 | 1875 | 0.5072 | 0.853 | 0.8526 |
| 0.3031 | 4.0 | 2500 | 0.4394 | 0.878 | 0.8780 |
| 0.0659 | 5.0 | 3125 | 0.5963 | 0.877 | 0.8770 |
| 0.116 | 6.0 | 3750 | 0.6596 | 0.8695 | 0.8691 |
| 0.1467 | 7.0 | 4375 | 0.6994 | 0.8755 | 0.8755 |
| 0.0028 | 8.0 | 5000 | 0.7004 | 0.8785 | 0.8785 |
| 0.0025 | 9.0 | 5625 | 0.7228 | 0.877 | 0.8770 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-4.0
- Created
- Aug 10, 2025
- Updated
- Aug 10, 2025