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---
library_name: peft
license: other
base_model: Qwen/Qwen2.5-Coder-3B
tags:
- generated_from_trainer
model-index:
- name: results
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. -->
# results
This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-3B](https://huggingface.co/Qwen/Qwen2.5-Coder-3B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1720
## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.3062 | 0.9849 | 49 | 1.2361 |
| 1.2408 | 1.9849 | 98 | 1.2071 |
| 1.2022 | 2.9849 | 147 | 1.1921 |
| 1.1692 | 3.9849 | 196 | 1.1827 |
| 1.14 | 4.9849 | 245 | 1.1768 |
| 1.1199 | 5.9849 | 294 | 1.1735 |
| 1.0947 | 6.9849 | 343 | 1.1710 |
| 1.0815 | 7.9849 | 392 | 1.1709 |
| 1.0674 | 8.9849 | 441 | 1.1716 |
| 1.04 | 9.9849 | 490 | 1.1720 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0 |