metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-1.5B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 32e5aa89-b903-4d0d-906f-719a8b00f1ff
results: []
32e5aa89-b903-4d0d-906f-719a8b00f1ff
This model is a fine-tuned version of Qwen/Qwen2.5-1.5B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0850
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: 0.000207
- 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 | 0.0002 | 1 | 0.6174 |
| 0.12 | 0.0114 | 50 | 0.1566 |
| 0.1155 | 0.0229 | 100 | 0.1270 |
| 0.0906 | 0.0343 | 150 | 0.1307 |
| 0.1028 | 0.0457 | 200 | 0.1006 |
| 0.078 | 0.0572 | 250 | 0.1092 |
| 0.0861 | 0.0686 | 300 | 0.0948 |
| 0.0929 | 0.0801 | 350 | 0.0887 |
| 0.0727 | 0.0915 | 400 | 0.0884 |
| 0.0695 | 0.1029 | 450 | 0.0853 |
| 0.0689 | 0.1144 | 500 | 0.0850 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1