---
license: other
base_model: google/gemma-7b
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- HuggingFaceH4/OpenHermes-2.5-1k-longest
model-index:
- name: gemma-7b-sft-full-longest-1k-v0
  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. -->

# gemma-7b-sft-full-longest-1k-v0

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the HuggingFaceH4/OpenHermes-2.5-1k-longest dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7445

## 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-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.6993        | 1.0   | 6    | 2.8191          |
| 3.3379        | 2.0   | 12   | 2.2503          |
| 2.8978        | 3.0   | 18   | 2.0730          |
| 2.7495        | 4.0   | 24   | 1.9771          |
| 2.5265        | 5.0   | 30   | 1.9129          |
| 2.4727        | 6.0   | 36   | 1.8681          |
| 2.443         | 7.0   | 42   | 1.8344          |
| 2.3432        | 8.0   | 48   | 1.8083          |
| 2.3291        | 9.0   | 54   | 1.7878          |
| 2.2843        | 10.0  | 60   | 1.7719          |
| 2.2529        | 11.0  | 66   | 1.7595          |
| 2.2723        | 12.0  | 72   | 1.7509          |
| 2.2302        | 13.0  | 78   | 1.7465          |
| 2.2224        | 14.0  | 84   | 1.7448          |
| 2.2309        | 15.0  | 90   | 1.7445          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.1