|
|
--- |
|
|
library_name: peft |
|
|
license: apache-2.0 |
|
|
base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: Qwen2.5-Coder-1.5B-Instruct-Airscript |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# Qwen2.5-Coder-1.5B-Instruct-Airscript |
|
|
|
|
|
This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 1.4578 |
|
|
|
|
|
## 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: 0.0005 |
|
|
- train_batch_size: 4 |
|
|
- eval_batch_size: 4 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 4 |
|
|
- total_train_batch_size: 16 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: cosine |
|
|
- lr_scheduler_warmup_steps: 30 |
|
|
- training_steps: 1599 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:------:|:----:|:---------------:| |
|
|
| 2.1783 | 0.0625 | 100 | 2.1005 | |
|
|
| 1.8424 | 0.1251 | 200 | 1.8531 | |
|
|
| 1.7342 | 0.1876 | 300 | 1.7347 | |
|
|
| 1.6314 | 0.2502 | 400 | 1.6523 | |
|
|
| 1.5815 | 0.3127 | 500 | 1.5977 | |
|
|
| 1.5495 | 0.3752 | 600 | 1.5601 | |
|
|
| 1.5015 | 0.4378 | 700 | 1.5319 | |
|
|
| 1.4848 | 0.5003 | 800 | 1.5099 | |
|
|
| 1.4606 | 0.5629 | 900 | 1.4929 | |
|
|
| 1.4478 | 0.6254 | 1000 | 1.4813 | |
|
|
| 1.4428 | 0.6879 | 1100 | 1.4717 | |
|
|
| 1.4248 | 0.7505 | 1200 | 1.4657 | |
|
|
| 1.4218 | 0.8130 | 1300 | 1.4614 | |
|
|
| 1.418 | 0.8755 | 1400 | 1.4588 | |
|
|
| 1.4238 | 0.9381 | 1500 | 1.4578 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.13.2 |
|
|
- Transformers 4.45.2 |
|
|
- Pytorch 2.5.0 |
|
|
- Datasets 3.0.1 |
|
|
- Tokenizers 0.20.1 |
