jawbreaker-minicpm-lora-v3 – AI Model by build-small-hackathon | AlphaNeural AI

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jawbreaker-minicpm-lora-v3

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text-generation

openbmb/MiniCPM4.1-8B

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jawbreaker-minicpm-lora-v3

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: 7e-05
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: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
5.3629	0.7634	50	nan
26.9266	1.5191	100	nan
0.1743	2.2748	150	nan

Framework versions

PEFT 0.19.1
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.8.5
Tokenizers 0.22.2