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---
library_name: transformers
license: mit
base_model: ai4bharat/indic-bert
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: MahaPhrase_IndicBERT_Finetuning_3
results: []
---
<!-- 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. -->
# MahaPhrase_IndicBERT_Finetuning_3
This model is a fine-tuned version of [ai4bharat/indic-bert](https://huggingface.co/ai4bharat/indic-bert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3427
- Accuracy: 0.868
- F1: 0.8675
## 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: 1.9441685921426482e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.6401 | 1.0 | 71 | 0.5991 | 0.684 | 0.6831 |
| 0.5377 | 2.0 | 142 | 0.5039 | 0.732 | 0.7297 |
| 0.3809 | 3.0 | 213 | 0.4500 | 0.804 | 0.7898 |
| 0.2201 | 4.0 | 284 | 0.3427 | 0.868 | 0.8675 |
| 0.1614 | 5.0 | 355 | 0.3923 | 0.856 | 0.8558 |
| 0.1114 | 6.0 | 426 | 0.3913 | 0.864 | 0.8620 |
| 0.1084 | 7.0 | 497 | 0.4789 | 0.844 | 0.8439 |
| 0.0457 | 8.0 | 568 | 0.4538 | 0.856 | 0.8557 |
### Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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