metadata

library_name: transformers
base_model: CodCodingCode/clinical_understanding_model-V2.1
tags:
  - generated_from_trainer
model-index:
  - name: deepseek-clinical-reasoning-qwen3-8b
    results: []

deepseek-clinical-reasoning-qwen3-8b

This model is a fine-tuned version of CodCodingCode/clinical_understanding_model-V2.1 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: 1000

Training results

Framework versions

Transformers 4.53.1
Pytorch 2.7.1+cu128
Datasets 3.6.0
Tokenizers 0.21.2