---
library_name: peft
license: gemma
base_model: google/gemma-3-4b-it
tags:
- generated_from_trainer
model-index:
- name: gemma-3-4b-it-arkey_emails-qlora
  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-3-4b-it-arkey_emails-qlora

This model is a fine-tuned version of [google/gemma-3-4b-it](https://huggingface.co/google/gemma-3-4b-it) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5329

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 5    | 3.9168          |
| No log        | 2.0   | 10   | 3.5567          |
| No log        | 3.0   | 15   | 3.2439          |
| No log        | 4.0   | 20   | 3.0028          |
| No log        | 5.0   | 25   | 2.8257          |
| No log        | 6.0   | 30   | 2.6974          |
| No log        | 7.0   | 35   | 2.6045          |
| No log        | 8.0   | 40   | 2.5319          |
| No log        | 9.0   | 45   | 2.4673          |
| No log        | 10.0  | 50   | 2.4065          |
| No log        | 11.0  | 55   | 2.3477          |
| No log        | 12.0  | 60   | 2.2918          |
| No log        | 13.0  | 65   | 2.2379          |
| No log        | 14.0  | 70   | 2.1864          |
| No log        | 15.0  | 75   | 2.1368          |
| No log        | 16.0  | 80   | 2.0882          |
| No log        | 17.0  | 85   | 2.0429          |
| No log        | 18.0  | 90   | 1.9999          |
| No log        | 19.0  | 95   | 1.9580          |
| No log        | 20.0  | 100  | 1.9175          |
| No log        | 21.0  | 105  | 1.8778          |
| No log        | 22.0  | 110  | 1.8372          |
| No log        | 23.0  | 115  | 1.7964          |
| No log        | 24.0  | 120  | 1.7642          |
| No log        | 25.0  | 125  | 1.7354          |
| No log        | 26.0  | 130  | 1.7083          |
| No log        | 27.0  | 135  | 1.6831          |
| No log        | 28.0  | 140  | 1.6598          |
| No log        | 29.0  | 145  | 1.6386          |
| No log        | 30.0  | 150  | 1.6197          |
| No log        | 31.0  | 155  | 1.6029          |
| No log        | 32.0  | 160  | 1.5880          |
| No log        | 33.0  | 165  | 1.5750          |
| No log        | 34.0  | 170  | 1.5638          |
| No log        | 35.0  | 175  | 1.5543          |
| No log        | 36.0  | 180  | 1.5466          |
| No log        | 37.0  | 185  | 1.5407          |
| No log        | 38.0  | 190  | 1.5365          |
| No log        | 39.0  | 195  | 1.5339          |
| No log        | 40.0  | 200  | 1.5329          |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.1.2
- Datasets 3.5.1
- Tokenizers 0.21.1