my_awesome_geopolitical_model

This model is a fine-tuned version of gsarti/it5-small on the geopolitica dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Rouge1: 0.1409
• Rouge2: 0.0203
• Rougel: 0.1247
• Rougelsum: 0.125
• Gen Len: 18.781

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	53	nan	0.1409	0.0203	0.1247	0.125	18.781
No log	2.0	106	nan	0.1409	0.0203	0.1247	0.125	18.781
No log	3.0	159	nan	0.1409	0.0203	0.1247	0.125	18.781
No log	4.0	212	nan	0.1409	0.0203	0.1247	0.125	18.781

Framework versions

• Transformers 4.33.3
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3