---
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
datasets:
- alpaca_farm
model-index:
- name: easylm-sft-gemma-2-9b
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# easylm-sft-gemma-2-9b

This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on the alpaca_farm dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4481

## 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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9381        | 1.0   | 2500 | 0.9376          |
| 0.4124        | 2.0   | 5000 | 1.0478          |
| 0.1515        | 3.0   | 7500 | 1.4481          |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1