---
base_model: google/gemma-7b
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: gemma-7b_oasst1_l0.0002_64
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gemma-7b_oasst1_l0.0002_64

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0293

## 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: 1
- eval_batch_size: 1
- seed: 0
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 1875

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.7307        | 0.0018 | 1    | 1.8760          |
| 1.8457        | 0.3392 | 187  | 1.5215          |
| 1.2456        | 0.6783 | 374  | 1.5131          |
| 1.3937        | 1.0175 | 561  | 1.5311          |
| 1.2993        | 1.3566 | 748  | 1.5817          |
| 1.1583        | 1.6958 | 935  | 1.5815          |
| 0.5816        | 2.0349 | 1122 | 1.7267          |
| 0.8159        | 2.3741 | 1309 | 1.6635          |
| 0.8828        | 2.7132 | 1496 | 1.8450          |
| 0.5188        | 3.0524 | 1683 | 1.9632          |
| 0.4029        | 3.3915 | 1870 | 1.9291          |


### Framework versions

- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1