metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-Coder-7B-Instruct
tags:
- base_model:adapter:Qwen/Qwen2.5-Coder-7B-Instruct
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: Qwen2.5-Coder-7B-Instruct-light-finetuned-v1
results: []
Qwen2.5-Coder-7B-Instruct-light-finetuned-v1
This model is a fine-tuned version of Qwen/Qwen2.5-Coder-7B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1487
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1558 | 1.0 | 14160 | 2.2381 |
| 2.0905 | 2.0 | 28320 | 2.1691 |
| 2.1028 | 3.0 | 42480 | 2.1487 |
Framework versions
- PEFT 0.17.0
- Transformers 4.55.1
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4