---
license: gemma
library_name: peft
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
base_model: google/gemma-7b
datasets:
- llama-duo/synth_classification_dataset_dedup
model-index:
- name: gemma7b-classification-gpt4o-100k
  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. -->

# gemma7b-classification-gpt4o-100k

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the llama-duo/synth_classification_dataset_dedup dataset.
It achieves the following results on the evaluation set:
- Loss: 4.4668

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- total_eval_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0589        | 1.0   | 319  | 1.7605          |
| 1.0           | 2.0   | 638  | 1.7306          |
| 0.8741        | 3.0   | 957  | 1.8115          |
| 0.7735        | 4.0   | 1276 | 1.9239          |
| 0.6599        | 5.0   | 1595 | 2.0617          |
| 0.5764        | 6.0   | 1914 | 2.3235          |
| 0.4817        | 7.0   | 2233 | 2.6759          |
| 0.4016        | 8.0   | 2552 | 3.0133          |
| 0.327         | 9.0   | 2871 | 3.4537          |
| 0.2814        | 10.0  | 3190 | 3.8273          |
| 0.2539        | 11.0  | 3509 | 4.1355          |
| 0.233         | 12.0  | 3828 | 4.3549          |
| 0.2281        | 13.0  | 4147 | 4.4559          |
| 0.2274        | 14.0  | 4466 | 4.4672          |
| 0.2251        | 15.0  | 4785 | 4.4668          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1