---
license: gemma
base_model: google/gemma-2-2b
tags:
- easylm
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- alpaca_farm
model-index:
- name: easylm-sft-gemma-2-2b-v3.2
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/lklab_kaist/grm/runs/oas98qbd)
# easylm-sft-gemma-2-2b-v3.2

This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on the alpaca_farm dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9037

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 13   | 0.7269          |
| No log        | 2.0   | 26   | 0.8854          |
| No log        | 3.0   | 39   | 0.9037          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1