2025-06-01_15-08-29 – AI Model by Jedrzej-Smok | AlphaNeural AI

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2025-06-01_15-08-29

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2025-06-01_15-08-29

This model is a fine-tuned version of nvidia/mit-b0 on the generator dataset. It achieves the following results on the evaluation set:

Loss: -3.3742
Mean Iou: 0.0204
Mean Accuracy: 1.0
Overall Accuracy: 1.0
Per Category Iou: [0.020385674931129475]
Per Category Accuracy: [1.0]

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: 6e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
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: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Per Category Iou	Per Category Accuracy
-2.4923	20.0	20	-1.4212	0.0204	1.0	1.0	[0.020385674931129475]	[1.0]
-3.1267	40.0	40	-3.3742	0.0204	1.0	1.0	[0.020385674931129475]	[1.0]

Framework versions

Transformers 4.52.4
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1