metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-0.5B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: c4cdac3f-f88f-4b3d-a846-bcf93124ec7c
results: []
c4cdac3f-f88f-4b3d-a846-bcf93124ec7c
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: 2.7256
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: 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 | 0.0000 | 1 | 2.8962 |
| 2.9183 | 0.0016 | 50 | 2.8469 |
| 2.8037 | 0.0031 | 100 | 2.8234 |
| 2.7798 | 0.0047 | 150 | 2.7971 |
| 2.7541 | 0.0062 | 200 | 2.7821 |
| 2.838 | 0.0078 | 250 | 2.7704 |
| 2.8946 | 0.0094 | 300 | 2.7495 |
| 2.8035 | 0.0109 | 350 | 2.7379 |
| 2.7171 | 0.0125 | 400 | 2.7298 |
| 2.8227 | 0.0140 | 450 | 2.7265 |
| 2.7743 | 0.0156 | 500 | 2.7256 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1