deepseek-r1-8b-belebele-lora-kan-knda

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

belebele_kan_Knda

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

• Loss: 0.7915
• Accuracy: 0.8299
• Mcq Accuracy: 0.2111

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
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_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