---
license: gemma
library_name: peft
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
base_model: google/gemma-2b
datasets:
- llama-duo/synth_classification_dataset_dedup
model-index:
- name: gemma2b-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. -->

# gemma2b-classification-gpt4o-100k

This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the llama-duo/synth_classification_dataset_dedup dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8001

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 2
- total_train_batch_size: 48
- total_eval_batch_size: 24
- 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.4266        | 0.9969  | 159  | 1.9880          |
| 1.3029        | 2.0     | 319  | 1.9710          |
| 1.2414        | 2.9969  | 478  | 1.9794          |
| 1.2012        | 4.0     | 638  | 2.0134          |
| 1.1513        | 4.9969  | 797  | 2.0583          |
| 1.0951        | 6.0     | 957  | 2.1084          |
| 1.0414        | 6.9969  | 1116 | 2.2094          |
| 1.0041        | 8.0     | 1276 | 2.3043          |
| 0.9481        | 8.9969  | 1435 | 2.3989          |
| 0.9006        | 10.0    | 1595 | 2.5173          |
| 0.8626        | 10.9969 | 1754 | 2.6419          |
| 0.8351        | 12.0    | 1914 | 2.7331          |
| 0.8265        | 12.9969 | 2073 | 2.7838          |
| 0.8167        | 14.0    | 2233 | 2.7990          |
| 0.8075        | 14.9530 | 2385 | 2.8001          |


### Framework versions

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