---
library_name: peft
base_model: sarvamai/sarvam-1
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: Test_1
  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. -->

# Test_1

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: nan
- Accuracy: 0.5183
- F1: 0.3538

## 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
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Use 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 23   | nan             | 0.5183   | 0.3538 |
| No log        | 2.0   | 46   | nan             | 0.5183   | 0.3538 |
| No log        | 3.0   | 69   | nan             | 0.5183   | 0.3538 |
| No log        | 4.0   | 92   | nan             | 0.5183   | 0.3538 |
| No log        | 5.0   | 115  | nan             | 0.5183   | 0.3538 |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0