t5-samsung-5e

This model is a fine-tuned version of t5-small on the samsum dataset. It achieves the following results on the evaluation set:

• Loss: 1.7108
• Rouge1: 43.1484
• Rouge2: 20.4563
• Rougel: 36.6379
• Rougelsum: 40.196
• Gen Len: 16.7677

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.873	1.0	1841	1.7460	41.7428	19.2191	35.2428	38.8578	16.7286
1.8627	2.0	3682	1.7268	42.4494	19.8301	36.1459	39.5271	16.6039
1.8293	3.0	5523	1.7223	42.8908	19.9782	36.1848	39.8482	16.7164
1.8163	4.0	7364	1.7101	43.2291	20.3177	36.6418	40.2878	16.8472
1.8174	5.0	9205	1.7108	43.1484	20.4563	36.6379	40.196	16.7677

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.7.1
• Tokenizers 0.13.2