litbank-coref-mem-xl-3

This model is a fine-tuned version of google/flan-t5-xl on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0018

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.ADAFACTOR and the args are: No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.4065	0.5855	500	0.0099
0.0116	1.1710	1000	0.0054
0.0075	1.7564	1500	0.0035
0.0051	2.3419	2000	0.0023
0.0041	2.9274	2500	0.0018

Framework versions

• Transformers 4.50.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1