---
library_name: peft
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-Chat-v0.6
tags:
- generated_from_trainer
model-index:
- name: TinyLlama-1.1B-Chat-v0.6-BALLUFF
  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-1.1B-Chat-v0.6-BALLUFF

This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v0.6](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v0.6) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2857

## 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: 0.001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4974        | 1.0   | 1334  | 0.4325          |
| 0.4279        | 2.0   | 2668  | 0.4047          |
| 0.304         | 3.0   | 4002  | 0.3933          |
| 0.2024        | 4.0   | 5336  | 0.3896          |
| 0.298         | 5.0   | 6670  | 0.3859          |
| 0.4684        | 6.0   | 8004  | 0.4056          |
| 0.3579        | 7.0   | 9338  | 0.3844          |
| 0.3633        | 8.0   | 10672 | 0.3963          |
| 0.8385        | 9.0   | 12006 | 0.3809          |
| 0.4261        | 10.0  | 13340 | 0.3974          |
| 0.6172        | 11.0  | 14674 | 0.3797          |
| 0.4697        | 12.0  | 16008 | 0.3747          |
| 0.3488        | 13.0  | 17342 | 0.3687          |
| 0.5322        | 14.0  | 18676 | 0.3583          |
| 0.3615        | 15.0  | 20010 | 0.3571          |
| 0.4629        | 16.0  | 21344 | 0.3501          |
| 0.2742        | 17.0  | 22678 | 0.3425          |
| 0.2556        | 18.0  | 24012 | 0.3340          |
| 0.1484        | 19.0  | 25346 | 0.3287          |
| 0.3551        | 20.0  | 26680 | 0.3227          |
| 0.2442        | 21.0  | 28014 | 0.3129          |
| 0.2195        | 22.0  | 29348 | 0.3087          |
| 0.1966        | 23.0  | 30682 | 0.3024          |
| 0.5957        | 24.0  | 32016 | 0.2962          |
| 0.2548        | 25.0  | 33350 | 0.2926          |
| 0.2288        | 26.0  | 34684 | 0.2896          |
| 0.1871        | 27.0  | 36018 | 0.2872          |
| 0.4647        | 28.0  | 37352 | 0.2862          |
| 0.1915        | 29.0  | 38686 | 0.2858          |
| 0.4057        | 30.0  | 40020 | 0.2857          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0