metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2-0.5B-Instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 6f307661-9dd8-41f4-b59a-2a2ca7e83e66
results: []
6f307661-9dd8-41f4-b59a-2a2ca7e83e66
This model is a fine-tuned version of Qwen/Qwen2-0.5B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3766
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 | 3.0103 |
| 3.0979 | 0.0176 | 50 | 2.7573 |
| 3.0191 | 0.0353 | 100 | 3.1388 |
| 3.1419 | 0.0529 | 150 | 2.7679 |
| 2.7112 | 0.0705 | 200 | 2.5790 |
| 2.9683 | 0.0882 | 250 | 2.5053 |
| 3.0004 | 0.1058 | 300 | 2.4616 |
| 3.0227 | 0.1234 | 350 | 2.4057 |
| 3.0325 | 0.1411 | 400 | 2.3861 |
| 2.8181 | 0.1587 | 450 | 2.3779 |
| 2.997 | 0.1763 | 500 | 2.3766 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1