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medical-reasoning-llm – AI Model by mahsharyahan | AlphaNeural AI
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medical-reasoning-llm
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transformers
safetensors
gpt2
text-generation
generated_from_trainer
conversational
microsoft/DialoGPT-medium
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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medical-reasoning-llm
This model is a fine-tuned version of
microsoft/DialoGPT-medium
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0522
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_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: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.7225
0.7859
200
1.2090
0.6055
1.5697
400
1.0899
0.5652
2.3536
600
1.0522
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
