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deepseek-clinical-finetuned – AI Model by CodCodingCode | AlphaNeural AI
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deepseek-clinical-finetuned
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transformers
tensorboard
safetensors
qwen3
text-generation
generated_from_trainer
conversational
deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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deepseek-clinical-finetuned
This model is a fine-tuned version of
deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
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: 1e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_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_steps: 300
training_steps: 14000
Training results
Framework versions
Transformers 4.53.1
Pytorch 2.7.1+cu128
Datasets 3.6.0
Tokenizers 0.21.2
