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bangla-medical-llama-3.2-1b – AI Model by bappy2001 | AlphaNeural AI
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bappy2001
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bangla-medical-llama-3.2-1b
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
hishab/titulm-llama-3.2-1b-v1.0
llama3.2
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bangla-medical-llama-3.2-1b
This model is a fine-tuned version of
hishab/titulm-llama-3.2-1b-v1.0
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6209
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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.6536
0.5255
200
0.6470
0.6207
1.0499
400
0.6319
0.5868
1.5754
600
0.6236
0.5523
2.0998
800
0.6266
0.5413
2.6253
1000
0.6209
Framework versions
PEFT 0.18.1
Transformers 5.3.0
Pytorch 2.10.0+cu128
Datasets 4.6.1
Tokenizers 0.22.2
