---
library_name: peft
license: gemma
base_model:
- google/gemma-3-270m
tags:
- generated_from_trainer
model-index:
- name: results
  results: []
datasets:
- Atharva31/Quotes_Collection
---

<!-- 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. -->

# results

This model is a fine-tuned version of [google/gemma-3-270m](https://huggingface.co/google/gemma-3-270m) on the Quotes_Collection dataset.
It achieves the following results on the evaluation set after being fine-tuned on 3 epochs:
- Loss: 1.8940

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

The training and Evaluation data are collection of Quotes from 3 open-source datasets

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- 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
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.149         | 1.0   | 360  | 1.9154          |
| 2.0852        | 2.0   | 720  | 1.8930          |
| 2.0449        | 3.0   | 1080 | 1.8940          |


### Framework versions

- PEFT 0.15.2
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2