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---
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 |