xummer/deepseek-r1-8b-belebele-lora-hye-armn

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belebelehyeArmn

This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Llama-8B on the belebelehyeArmn_train dataset. It achieves the following results on the evaluation set:

• —Loss: 0.7096
• —Accuracy: 0.8616
• —Mcq Accuracy: 0.2135

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: 0.0002
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 0.1
• —num_epochs: 5.0

Training results

Framework versions

• —PEFT 0.18.1
• —Transformers 5.2.0
• —Pytorch 2.10.0+cu128
• —Datasets 4.0.0
• —Tokenizers 0.22.2