metadata
library_name: transformers
base_model: BytArch/source-mini
tags:
- generated_from_trainer
model-index:
- name: source-mini
results: []
license: mit
datasets:
- BytArch/ub-data-structures-2025-1
- BytArch/ub-networking-dataset-2024-2
- BytArch/ub-web-dev-2025-2
- BytArch/source-mini-id
language:
- en
metrics:
- accuracy
- character
new_version: BytArch/source-mini
pipeline_tag: text-generation
source-mini
This model is a fine-tuned version of BytArch/source-mini on the None 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: linear
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.56.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0