---
library_name: peft
base_model: sarvamai/sarvam-1
tags:
- generated_from_trainer
model-index:
- name: Hindi_Normalisation
  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. -->

# Hindi_Normalisation

This model is a fine-tuned version of [sarvamai/sarvam-1](https://huggingface.co/sarvamai/sarvam-1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9944

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.7981        | 0.25  | 50   | 3.6827          |
| 3.5768        | 0.5   | 100  | 3.5449          |
| 3.2662        | 0.75  | 150  | 3.2327          |
| 2.9061        | 1.0   | 200  | 2.9117          |
| 2.6027        | 1.25  | 250  | 2.6400          |
| 2.4047        | 1.5   | 300  | 2.3961          |
| 2.1897        | 1.75  | 350  | 2.1825          |
| 2.0345        | 2.0   | 400  | 2.1042          |
| 2.0123        | 2.25  | 450  | 2.0725          |
| 2.0704        | 2.5   | 500  | 2.0525          |
| 1.9966        | 2.75  | 550  | 2.0358          |
| 2.0171        | 3.0   | 600  | 2.0233          |
| 1.9052        | 3.25  | 650  | 2.0137          |
| 2.0293        | 3.5   | 700  | 2.0067          |
| 1.961         | 3.75  | 750  | 2.0017          |
| 1.9371        | 4.0   | 800  | 1.9979          |
| 2.006         | 4.25  | 850  | 1.9959          |
| 2.0385        | 4.5   | 900  | 1.9948          |
| 1.9319        | 4.75  | 950  | 1.9945          |
| 1.9252        | 5.0   | 1000 | 1.9944          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0