output

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Model Preparation Time: 0.0007
• Accuracy: 0.9944
• F1: 0.9917
• Iou: 0.9889

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
• 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Accuracy	F1	Iou
No log	1.0	1	0.5669	0.0007	0.9944	0.9917	0.9889
No log	2.0	2	nan	0.0007	0.9944	0.9917	0.9889
No log	3.0	3	nan	0.0007	0.9944	0.9917	0.9889
No log	4.0	4	nan	0.0007	0.9944	0.9917	0.9889
No log	5.0	5	nan	0.0007	0.9944	0.9917	0.9889
No log	6.0	6	nan	0.0007	0.9944	0.9917	0.9889
No log	7.0	7	nan	0.0007	0.9944	0.9917	0.9889
No log	8.0	8	nan	0.0007	0.9944	0.9917	0.9889
No log	9.0	9	nan	0.0007	0.9944	0.9917	0.9889
No log	10.0	10	nan	0.0007	0.9944	0.9917	0.9889

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1
• Datasets 2.21.0
• Tokenizers 0.20.3