test_sum_abs_t5_small_wasa_no_stops

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

• Loss: 2.1499
• Rouge1: 0.3402
• Rouge2: 0.2004
• Rougel: 0.315
• Rougelsum: 0.315
• Gen Len: 18.8435

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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.5696	1.0	1764	2.2999	0.3394	0.2011	0.3133	0.3131	18.6902
2.4055	2.0	3528	2.2091	0.3432	0.202	0.3174	0.3171	18.8214
2.3447	3.0	5292	2.1597	0.3463	0.2048	0.3201	0.3199	18.8339
2.3436	4.0	7056	2.1499	0.3402	0.2004	0.315	0.315	18.8435

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2