---
license: gemma
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: google/gemma-7b-it
model-index:
- name: Gemma-7B-It-ORPO-SFT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Gemma-7B-It-ORPO-SFT

This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co./google/gemma-7b-it) on the bct_non_cot_sft_1000 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0962

## 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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0
- Datasets 2.19.0
- Tokenizers 0.19.1