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R3-DeepSeek-R1-Distill-Qwen-14B-4k – AI Model by rubricreward | AlphaNeural AI

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rubricreward/
R3-DeepSeek-R1-Distill-Qwen-14B-4k

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text-generation

generated_from_trainer

deepseek-ai/DeepSeek-R1-Distill-Qwen-14B

autotrain_compatible

text-generation-inference

endpoints_compatible

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qwen25_dpsk_14b_full_4k

This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-14B on the r3_dataset_4k dataset.

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: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Use OptimizerNames.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: 5

Training results

Framework versions

Transformers 4.52.4
Pytorch 2.6.0
Datasets 3.6.0
Tokenizers 0.21.1