shibajustfor/33d25f48-d229-42d9-8bf9-63d1ed434885
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0953
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for shibajustfor/33d25f48-d229-42d9-8bf9-63d1ed434885
Base model
Qwen/Qwen2.5-0.5B Finetuned
Qwen/Qwen2.5-0.5B-Instruct Finetuned
unsloth/Qwen2.5-0.5B-Instruct
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/workspace/input_data/unsloth/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "shibajustfor/33d25f48-d229-42d9-8bf9-63d1ed434885")