metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-7B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 65d5a49c-131a-4264-bdee-0528e6e3269d
results: []
65d5a49c-131a-4264-bdee-0528e6e3269d
This model is a fine-tuned version of Qwen/Qwen2.5-7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5064
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: 0.000218
- train_batch_size: 4
- eval_batch_size: 4
- seed: 180
- 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 | 1.9540 |
| 1.4327 | 0.0430 | 50 | 1.7293 |
| 1.4125 | 0.0859 | 100 | 1.7308 |
| 1.4084 | 0.1289 | 150 | 1.7576 |
| 1.3948 | 0.1718 | 200 | 1.6833 |
| 1.4067 | 0.2148 | 250 | 1.6334 |
| 1.479 | 0.2577 | 300 | 1.5825 |
| 1.447 | 0.3007 | 350 | 1.5370 |
| 1.1546 | 0.3436 | 400 | 1.5104 |
| 1.2333 | 0.3866 | 450 | 1.5094 |
| 1.3885 | 0.4296 | 500 | 1.5064 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1