goated69/ad-v0
014
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train_2025-07-13-13-40-22
This model is a fine-tuned version of Qwen/Qwen2.5-Coder-0.5B-Instruct on the llama-finetune-dataset.jsonl 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: 5e-05
- trainbatchsize: 2
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 8
- totaltrainbatch_size: 16
- optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: cosine
- num_epochs: 3.0
Training results
Framework versions
- PEFT 0.15.2
- Transformers 4.52.4
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
