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DeepSeek-R1-Distill-Qwen-7B-300steps-increased-context-length-monday – AI Model by sai-lakkshmii | AlphaNeural AI
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DeepSeek-R1-Distill-Qwen-7B-300steps-increased-context-length-monday
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DeepSeek-R1-Distill-Qwen-7B-300steps-increased-context-length-monday
This model is a fine-tuned version of
deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
on an unknown 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: 0.0001
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 10
total_train_batch_size: 80
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
training_steps: 1000
Training results
Framework versions
PEFT 0.14.0
Transformers 4.43.3
Pytorch 2.3.0+cu121
Datasets 3.2.0
Tokenizers 0.19.1
