---
library_name: peft
license: gemma
base_model: google/gemma-3-1b-it
tags:
- llama-factory
- prompt-tuning
- generated_from_trainer
model-index:
- name: train_2025-04-10-10-34-00
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# train_2025-04-10-10-34-00

This model is a fine-tuned version of [google/gemma-3-1b-it](https://huggingface.co/google/gemma-3-1b-it) on the mnli_train dataset.

## 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: 0.3
- 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: cosine
- num_epochs: 3.0

### Training results



### Framework versions

- PEFT 0.15.1
- Transformers 4.51.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0