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---
library_name: peft
license: apache-2.0
base_model: unsloth/Qwen2-7B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: a916de6c-4265-47da-aa5b-d3cfbfa791bc
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>
# a916de6c-4265-47da-aa5b-d3cfbfa791bc
This model is a fine-tuned version of [unsloth/Qwen2-7B](https://huggingface.co/unsloth/Qwen2-7B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0719
## 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: 0.000211
- 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 | 0.0007 | 1 | 1.3709 |
| 2.2737 | 0.0349 | 50 | 1.2990 |
| 2.3175 | 0.0698 | 100 | 1.2746 |
| 2.1608 | 0.1047 | 150 | 1.2196 |
| 1.9825 | 0.1397 | 200 | 1.1976 |
| 2.2834 | 0.1746 | 250 | 1.1505 |
| 1.9559 | 0.2095 | 300 | 1.1187 |
| 2.2902 | 0.2444 | 350 | 1.0975 |
| 2.3402 | 0.2793 | 400 | 1.0797 |
| 2.3676 | 0.3142 | 450 | 1.0727 |
| 2.1411 | 0.3492 | 500 | 1.0719 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1 |