square1.2

This model is a fine-tuned version of jla25/results on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0074

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-06
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	75	0.0286
No log	2.0	150	0.0172
No log	3.0	225	0.0129
No log	4.0	300	0.0103
No log	5.0	375	0.0088
No log	6.0	450	0.0082
0.0187	7.0	525	0.0078
0.0187	8.0	600	0.0076
0.0187	9.0	675	0.0074
0.0187	10.0	750	0.0074

Framework versions

• Transformers 4.44.2
• Pytorch 2.5.0+cu121
• Tokenizers 0.19.1