---
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-anghabench-16kcw-3ep
  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-anghabench-16kcw-3ep

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 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0009

## 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: 3.0

### Training results

| Training Loss | Epoch  | Step   | Validation Loss |
|:-------------:|:------:|:------:|:---------------:|
| 0.0042        | 0.4091 | 25000  | 0.0036          |
| 0.0026        | 0.8181 | 50000  | 0.0023          |
| 0.0025        | 1.2272 | 75000  | 0.0018          |
| 0.0009        | 1.6363 | 100000 | 0.0013          |
| 0.0013        | 2.0453 | 125000 | 0.0010          |
| 0.0012        | 2.4544 | 150000 | 0.0010          |
| 0.0003        | 2.8635 | 175000 | 0.0009          |


### Framework versions

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