metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-0.5B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 55a60f0c-5b3b-44ac-9de6-c2cbfdda0211
results: []
55a60f0c-5b3b-44ac-9de6-c2cbfdda0211
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: 2.0277
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: 0.000208
- 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 | 2.5772 |
| 2.4293 | 0.0098 | 50 | 2.3675 |
| 2.2249 | 0.0196 | 100 | 2.2141 |
| 2.2491 | 0.0294 | 150 | 2.1962 |
| 2.3228 | 0.0392 | 200 | 2.1490 |
| 2.3948 | 0.0490 | 250 | 2.1125 |
| 2.3685 | 0.0588 | 300 | 2.0765 |
| 2.0515 | 0.0686 | 350 | 2.0434 |
| 2.3202 | 0.0784 | 400 | 2.0295 |
| 2.0743 | 0.0882 | 450 | 2.0274 |
| 2.3115 | 0.0980 | 500 | 2.0277 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1