metadata
library_name: peft
license: apache-2.0
base_model: unsloth/Qwen2-7B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 067ec1a7-6c0a-47c0-b172-079a7aaecfb8
results: []
067ec1a7-6c0a-47c0-b172-079a7aaecfb8
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: 0.2971
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 | 0.0009 | 1 | 0.5409 |
| 0.0081 | 0.0438 | 50 | 0.4145 |
| 0.0049 | 0.0875 | 100 | 0.3669 |
| 0.002 | 0.1313 | 150 | 0.3638 |
| 0.0007 | 0.1751 | 200 | 0.3568 |
| 0.0004 | 0.2188 | 250 | 0.3523 |
| 0.0024 | 0.2626 | 300 | 0.3273 |
| 0.0016 | 0.3063 | 350 | 0.3122 |
| 0.0005 | 0.3501 | 400 | 0.3001 |
| 0.0002 | 0.3939 | 450 | 0.2981 |
| 0.0007 | 0.4376 | 500 | 0.2971 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1