outputs
This model is a fine-tuned version of unsloth/Qwen2.5-0.5B-Instruct-bnb-4bit 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 3407
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.19.1
- Downloads last month
- 40
Model tree for jonathanjordan21/outputs
Base model
Qwen/Qwen2.5-0.5B
Finetuned
Qwen/Qwen2.5-0.5B-Instruct
Quantized
unsloth/Qwen2.5-0.5B-Instruct-bnb-4bit