my_awesome_dsum_model

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

• Loss: 1.5753
• Rouge1: 0.3476
• Rouge2: 0.1123
• Rougel: 0.2884
• Rougelsum: 0.2885
• Gen Len: 18.788

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
1.7371	1.0	779	1.6384	0.3338	0.101	0.2781	0.2782	18.752
1.5086	2.0	1558	1.5932	0.3418	0.1062	0.2824	0.2825	18.782
1.4892	3.0	2337	1.5788	0.3476	0.1131	0.2886	0.2886	18.784
1.4589	4.0	3116	1.5753	0.3476	0.1123	0.2884	0.2885	18.788

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0