---
library_name: transformers
license: apache-2.0
base_model: sreejith8100/indian_output
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: indian_entity
  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. -->

# indian_entity

This model is a fine-tuned version of [sreejith8100/indian_output](https://huggingface.co/sreejith8100/indian_output) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0
- F1: 1.0

## 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: 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|
| 0.0001        | 1.0   | 1424 | 0.0000          | 1.0      | 1.0 |
| 0.0           | 2.0   | 2848 | 0.0000          | 1.0      | 1.0 |
| 0.0           | 3.0   | 4272 | 0.0000          | 1.0      | 1.0 |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0