---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2.5-Coder-0.5B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: asm2asm-qwen2.5coder-0.5b-100k-2ep-tokenizer
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# asm2asm-qwen2.5coder-0.5b-100k-2ep-tokenizer

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 an unknown dataset.

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2

### Training results



### Framework versions

- Transformers 4.46.0
- Pytorch 2.4.1+cu118
- Datasets 3.0.1
- Tokenizers 0.20.1