metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-0.5B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 505b3f66-40a7-444c-994b-3add4dd93965
results: []
505b3f66-40a7-444c-994b-3add4dd93965
This model is a fine-tuned version of Qwen/Qwen2.5-0.5B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9369
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: 0.000208
- 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 | 4.6534 |
| 1.9053 | 0.0221 | 50 | 2.1223 |
| 2.0326 | 0.0443 | 100 | 2.1483 |
| 2.1974 | 0.0664 | 150 | 2.1166 |
| 1.9459 | 0.0886 | 200 | 2.0787 |
| 1.9785 | 0.1107 | 250 | 2.0292 |
| 1.9606 | 0.1329 | 300 | 2.0191 |
| 1.8797 | 0.1550 | 350 | 1.9635 |
| 1.8965 | 0.1771 | 400 | 1.9487 |
| 1.9551 | 0.1993 | 450 | 1.9397 |
| 1.7626 | 0.2214 | 500 | 1.9369 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1