---
library_name: peft
license: apache-2.0
base_model: unsloth/tinyllama-chat
tags:
- axolotl
- generated_from_trainer
model-index:
- name: a9f95564-8108-4018-b0a8-c1519cc5a6bb
results: []
---
[
](https://github.com/axolotl-ai-cloud/axolotl)
# a9f95564-8108-4018-b0a8-c1519cc5a6bb
This model is a fine-tuned version of [unsloth/tinyllama-chat](https://huggingface.co/unsloth/tinyllama-chat) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1068
## 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: 0.000203
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 50
- training_steps: 400
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log | 0.0051 | 1 | 2.7134 |
| 0.2963 | 0.2528 | 50 | 0.1043 |
| 0.1056 | 0.5057 | 100 | 0.1043 |
| 0.105 | 0.7585 | 150 | 0.1033 |
| 0.1054 | 1.0126 | 200 | 0.1043 |
| 0.1045 | 1.2655 | 250 | 0.1060 |
| 0.1043 | 1.5183 | 300 | 0.1068 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1