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---
library_name: peft
license: llama3.2
base_model: unsloth/Llama-3.2-1B-Instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: adb6691b-5aa3-4e0a-9e9b-b517cdd966c5
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. -->
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<br>
# adb6691b-5aa3-4e0a-9e9b-b517cdd966c5
This model is a fine-tuned version of [unsloth/Llama-3.2-1B-Instruct](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2517
## 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: 0.000218
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log | 0.0002 | 1 | 3.1149 |
| 2.7042 | 0.0083 | 50 | 2.7513 |
| 3.0109 | 0.0165 | 100 | 2.7991 |
| 2.5636 | 0.0248 | 150 | 2.7374 |
| 3.0321 | 0.0331 | 200 | 2.5573 |
| 2.8198 | 0.0413 | 250 | 2.4827 |
| 2.2206 | 0.0496 | 300 | 2.4009 |
| 2.9364 | 0.0578 | 350 | 2.2891 |
| 2.5913 | 0.0661 | 400 | 2.2623 |
| 2.5269 | 0.0744 | 450 | 2.2431 |
| 2.3284 | 0.0826 | 500 | 2.2517 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1 |