---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: unsloth/tinyllama-bnb-4bit
metrics:
- accuracy
model-index:
- name: tinyllama-qwantz-coherent
  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. -->

# tinyllama-qwantz-coherent

This model is a fine-tuned version of [unsloth/tinyllama-bnb-4bit](https://huggingface.co/unsloth/tinyllama-bnb-4bit) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5015
- Accuracy: 0.8650

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4508        | 1.0   | 1428 | 0.3631          | 0.8509   |
| 0.4223        | 2.0   | 2856 | 0.4421          | 0.8617   |
| 0.147         | 3.0   | 4284 | 0.5015          | 0.8650   |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1