metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-0.5B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: e420ba63-22a8-4cc7-b00b-7123f71fef6b
results: []
e420ba63-22a8-4cc7-b00b-7123f71fef6b
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: 1.9455
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: 0.000211
- 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 |
| 1.8932 | 0.0221 | 50 | 2.1216 |
| 2.033 | 0.0443 | 100 | 2.1431 |
| 2.1789 | 0.0664 | 150 | 2.1224 |
| 1.9642 | 0.0886 | 200 | 2.0789 |
| 1.9758 | 0.1107 | 250 | 2.0376 |
| 2.011 | 0.1329 | 300 | 2.0242 |
| 1.8957 | 0.1550 | 350 | 1.9762 |
| 1.9096 | 0.1771 | 400 | 1.9563 |
| 1.9558 | 0.1993 | 450 | 1.9491 |
| 1.7609 | 0.2214 | 500 | 1.9455 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1