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: 0.4811

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: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 16
total_eval_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.4844	0.8929	1000	0.4723
0.4258	1.7857	2000	0.4722
0.3709	2.6786	3000	0.4812

Framework versions

Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0

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

code_finetune

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

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