metadata
library_name: peft
license: apache-2.0
base_model: unsloth/Qwen2-7B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 974d860b-ca15-4c5f-8553-b9e13ecdcb69
results: []
974d860b-ca15-4c5f-8553-b9e13ecdcb69
This model is a fine-tuned version of unsloth/Qwen2-7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3223
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: 0.000201
- 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 | 0.0004 | 1 | 2.6280 |
| 1.373 | 0.0184 | 50 | 1.5826 |
| 1.383 | 0.0368 | 100 | 1.4930 |
| 1.3078 | 0.0552 | 150 | 1.4785 |
| 1.2819 | 0.0736 | 200 | 1.4645 |
| 1.2472 | 0.0920 | 250 | 1.4157 |
| 1.2001 | 0.1104 | 300 | 1.3858 |
| 1.2399 | 0.1287 | 350 | 1.3592 |
| 1.2482 | 0.1471 | 400 | 1.3329 |
| 1.2341 | 0.1655 | 450 | 1.3241 |
| 1.2471 | 0.1839 | 500 | 1.3223 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1