---
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-2b
model-index:
- name: gemma2b_quotes_v4
  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_quotes_v4

This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5350

## 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: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 50

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.4383        | 0.0100 | 5    | 2.8428          |
| 1.8807        | 0.0199 | 10   | 2.6970          |
| 2.389         | 0.0299 | 15   | 2.7069          |
| 2.2562        | 0.0399 | 20   | 2.6762          |
| 2.0517        | 0.0499 | 25   | 2.6469          |
| 1.9751        | 0.0598 | 30   | 2.6153          |
| 2.2206        | 0.0698 | 35   | 2.6186          |
| 2.2526        | 0.0798 | 40   | 2.5952          |
| 1.9522        | 0.0897 | 45   | 2.5328          |
| 1.8209        | 0.0997 | 50   | 2.5350          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1