metadata
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: []
Qwen2.5-Coder-1.5B-Instruct-Airscript
This model is a fine-tuned version of 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: 1600
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1783 | 0.0625 | 100 | 2.1006 |
| 1.8426 | 0.125 | 200 | 1.8535 |
| 1.7343 | 0.1875 | 300 | 1.7350 |
| 1.6313 | 0.25 | 400 | 1.6520 |
| 1.5817 | 0.3125 | 500 | 1.5982 |
| 1.5498 | 0.375 | 600 | 1.5604 |
| 1.5019 | 0.4375 | 700 | 1.5322 |
| 1.4852 | 0.5 | 800 | 1.5103 |
| 1.461 | 0.5625 | 900 | 1.4939 |
| 1.4483 | 0.625 | 1000 | 1.4820 |
| 1.4434 | 0.6875 | 1100 | 1.4723 |
| 1.4254 | 0.75 | 1200 | 1.4659 |
| 1.4224 | 0.8125 | 1300 | 1.4619 |
| 1.4188 | 0.875 | 1400 | 1.4596 |
| 1.4245 | 0.9375 | 1500 | 1.4585 |
| 1.4172 | 1.0 | 1600 | 1.4578 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.5.0
- Datasets 3.0.1
- Tokenizers 0.20.1