---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2.5-Coder-0.5B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: qwen2.5_0.5b_1M_stack_16kcw_2ep
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# qwen2.5_0.5b_1M_stack_16kcw_2ep

This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B-Instruct) on the anghabench_1M_1, the anghabench_1M_2 and the stack datasets.
It achieves the following results on the evaluation set:
- Loss: 0.0020

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- total_eval_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2.0

### Training results

| Training Loss | Epoch  | Step   | Validation Loss |
|:-------------:|:------:|:------:|:---------------:|
| 0.0064        | 0.3912 | 61000  | 0.0041          |
| 0.0029        | 0.7825 | 122000 | 0.0032          |
| 0.0023        | 1.1737 | 183000 | 0.0024          |
| 0.0018        | 1.5649 | 244000 | 0.0021          |
| 0.0011        | 1.9562 | 305000 | 0.0020          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3