realYinkaIyiola/Deepseek-R1-Distill-14B-Code-Ft

code_finetune

This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-14B on the open_thoughts_19K dataset. It achieves the following results on the evaluation set:

• Loss: nan

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: 1e-05
• train_batch_size: 6
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 48
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.3178	1.0	2986	nan
1.0555	2.0	5972	nan
0.7954	3.0	8958	nan
0.5992	4.0	11944	nan
0.5494	5.0	14930	nan

Framework versions

• Transformers 4.45.2
• Pytorch 2.6.0+cu124
• Datasets 3.1.0
• Tokenizers 0.20.3