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jawbreaker-minicpm-lora-v2 – AI Model by build-small-hackathon | AlphaNeural AI
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jawbreaker-minicpm-lora-v2
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
openbmb/MiniCPM4.1-8B
apache-2.0
us
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jawbreaker-minicpm-lora-v2
This model is a fine-tuned version of
openbmb/MiniCPM4.1-8B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
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: 2.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.274
0.9302
50
nan
0.1933
1.8558
100
nan
Framework versions
PEFT 0.19.1
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.8.5
Tokenizers 0.22.2
