---
library_name: transformers
license: cc-by-4.0
base_model: l3cube-pune/indic-sentence-bert-nli
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: indic-sentence-bert-nli-hinglish-binary
  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. -->

# indic-sentence-bert-nli-hinglish-binary

This model is a fine-tuned version of [l3cube-pune/indic-sentence-bert-nli](https://huggingface.co/l3cube-pune/indic-sentence-bert-nli) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6151
- Accuracy: 0.6921
- Precision: 0.6876
- Recall: 0.6039
- F1: 0.5965

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.664         | 0.9709 | 25   | 0.6561          | 0.6376   | 0.3188    | 0.5    | 0.3894 |
| 0.6424        | 1.9806 | 51   | 0.6544          | 0.6376   | 0.3188    | 0.5    | 0.3894 |
| 0.6373        | 2.9903 | 77   | 0.6223          | 0.7139   | 0.7186    | 0.6328 | 0.6334 |
| 0.622         | 4.0    | 103  | 0.6048          | 0.7139   | 0.7158    | 0.6345 | 0.6357 |
| 0.594         | 4.8544 | 125  | 0.6002          | 0.7166   | 0.7220    | 0.6366 | 0.6380 |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0