---
library_name: transformers
license: other
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_['opencodeinstruct_eob']_block_None_0129_0640
  results: []
---

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# sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_['opencodeinstruct_eob']_block_None_0129_0640

This model is a fine-tuned version of [training/model/SDAR-4B-Chat-mix](https://huggingface.co/training/model/SDAR-4B-Chat-mix) on the opencodeinstruct_eob 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 2048
- total_eval_batch_size: 64
- 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: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4

### Training results



### Framework versions

- Transformers 4.52.4
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1