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MobileLLM-125M-lora – AI Model by arbyazra123 | AlphaNeural AI
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MobileLLM-125M-lora
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transformers
tensorboard
safetensors
mobilellm
text-generation
generated_from_trainer
custom_code
facebook/MobileLLM-125M
finetune
other
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MobileLLM-125M-lora
This model is a fine-tuned version of
facebook/MobileLLM-125M
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3628
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
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: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.3903
1.0
557
0.3929
0.3662
2.0
1114
0.3628
Framework versions
Transformers 4.57.0
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
