---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- unsloth
- generated_from_trainer
base_model: unsloth/tinyllama-chat-bnb-4bit
datasets:
- generator
model-index:
- name: MunicipalPredictionModel-TinyLlama
  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. -->

# MunicipalPredictionModel-TinyLlama

This model is a fine-tuned version of [unsloth/tinyllama-chat-bnb-4bit](https://huggingface.co/unsloth/tinyllama-chat-bnb-4bit) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3521

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.8522        | 0.0377 | 10   | 3.0444          |
| 2.7085        | 0.0753 | 20   | 2.4069          |
| 2.191         | 0.1130 | 30   | 2.0027          |
| 1.8996        | 0.1507 | 40   | 1.8018          |
| 1.7538        | 0.1883 | 50   | 1.6850          |
| 1.6563        | 0.2260 | 60   | 1.6161          |
| 1.6275        | 0.2637 | 70   | 1.5722          |
| 1.5313        | 0.3013 | 80   | 1.5377          |
| 1.5277        | 0.3390 | 90   | 1.5104          |
| 1.5039        | 0.3766 | 100  | 1.4889          |
| 1.4768        | 0.4143 | 110  | 1.4694          |
| 1.4552        | 0.4520 | 120  | 1.4523          |
| 1.4481        | 0.4896 | 130  | 1.4385          |
| 1.4223        | 0.5273 | 140  | 1.4233          |
| 1.4145        | 0.5650 | 150  | 1.4118          |
| 1.4207        | 0.6026 | 160  | 1.4012          |
| 1.4004        | 0.6403 | 170  | 1.3925          |
| 1.4316        | 0.6780 | 180  | 1.3849          |
| 1.3841        | 0.7156 | 190  | 1.3784          |
| 1.3747        | 0.7533 | 200  | 1.3722          |
| 1.388         | 0.7910 | 210  | 1.3665          |
| 1.3508        | 0.8286 | 220  | 1.3623          |
| 1.386         | 0.8663 | 230  | 1.3586          |
| 1.3605        | 0.9040 | 240  | 1.3555          |
| 1.369         | 0.9416 | 250  | 1.3534          |
| 1.3645        | 0.9793 | 260  | 1.3521          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.43.4
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.0