flan-t5-small-samsum

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

• Loss: 1.6754
• Rouge1: 42.739
• Rouge2: 18.3741
• Rougel: 35.2588
• Rougelsum: 38.893
• Gen Len: 16.8474

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: 52
• eval_batch_size: 52
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.8824	0.35	100	1.7015	42.5324	18.3468	35.0528	38.7814	16.6532
1.8578	0.7	200	1.6878	42.0766	18.2423	34.9442	38.4806	16.7216
1.835	1.06	300	1.6823	42.8147	18.6292	35.4054	38.956	16.9048
1.8144	1.41	400	1.6786	42.6886	18.402	35.3235	38.8638	16.6618
1.8094	1.76	500	1.6754	42.739	18.3741	35.2588	38.893	16.8474

Framework versions

• Transformers 4.36.0
• Pytorch 2.0.0
• Datasets 2.15.0
• Tokenizers 0.15.0