metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-7B-Instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 4bcddbcf-4281-41b1-a833-10972465d35a
results: []
4bcddbcf-4281-41b1-a833-10972465d35a
This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7785
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: 0.000206
- train_batch_size: 4
- eval_batch_size: 4
- seed: 60
- 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 | 0.0008 | 1 | 1.3634 |
| 1.1513 | 0.0422 | 50 | 0.9595 |
| 1.0255 | 0.0845 | 100 | 0.8725 |
| 1.0269 | 0.1267 | 150 | 0.9712 |
| 1.0007 | 0.1690 | 200 | 0.8601 |
| 1.0251 | 0.2112 | 250 | 0.8510 |
| 1.0061 | 0.2535 | 300 | 0.8201 |
| 0.8437 | 0.2957 | 350 | 0.7942 |
| 0.9391 | 0.3380 | 400 | 0.7827 |
| 0.7186 | 0.3802 | 450 | 0.7775 |
| 0.7295 | 0.4225 | 500 | 0.7785 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1