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---
library_name: peft
license: apache-2.0
base_model: llamafactory/tiny-random-Llama-3
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 2ee471fa-5349-4340-817e-5395360919aa
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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[<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>
# 2ee471fa-5349-4340-817e-5395360919aa
This model is a fine-tuned version of [llamafactory/tiny-random-Llama-3](https://huggingface.co/llamafactory/tiny-random-Llama-3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 11.7298
## 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: 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 | 0.0012 | 1 | 11.7627 |
| 11.7389 | 0.0583 | 50 | 11.7467 |
| 11.7342 | 0.1166 | 100 | 11.7423 |
| 11.7273 | 0.1749 | 150 | 11.7390 |
| 11.7255 | 0.2332 | 200 | 11.7358 |
| 11.7252 | 0.2915 | 250 | 11.7343 |
| 11.7254 | 0.3499 | 300 | 11.7325 |
| 11.7232 | 0.4082 | 350 | 11.7314 |
| 11.7211 | 0.4665 | 400 | 11.7303 |
| 11.7233 | 0.5248 | 450 | 11.7301 |
| 11.7215 | 0.5831 | 500 | 11.7298 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1 |