t5_finetuned_xsum_hr

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

• Loss: 2.4224
• Rouge1: 29.1239
• Rouge2: 8.3165
• Rougel: 22.9946
• Rougelsum: 22.9996
• Gen Len: 18.819

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.6839	1.0	12753	2.4474	28.721	8.0397	22.6568	22.6527	18.8324
2.6425	2.0	25506	2.4224	29.1239	8.3165	22.9946	22.9996	18.819

Framework versions

• Transformers 4.21.0
• Pytorch 1.12.0
• Datasets 2.4.0
• Tokenizers 0.12.1