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ai-medical – AI Model by waqar00 | AlphaNeural AI
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waqar00
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ai-medical
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
TinyLlama/TinyLlama-1.1B-Chat-v1.0
apache-2.0
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ai-medical
This model is a fine-tuned version of
TinyLlama/TinyLlama-1.1B-Chat-v1.0
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9010
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.2027
0.1333
200
1.0220
1.1472
0.2667
400
0.9653
1.0721
0.4
600
0.9403
0.9967
0.5333
800
0.9233
0.9965
0.6667
1000
0.9130
1.043
0.8
1200
0.9053
0.9699
0.9333
1400
0.9010
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1
