t5-base-finetuned-parth

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

• Loss: 2.3764
• Rouge1: 27.5144
• Rouge2: 22.6391
• Rougel: 25.9369
• Rougelsum: 27.1193
• Gen Len: 17.5

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	4	2.7016	27.6196	22.7595	25.9443	27.2369	17.5
No log	2.0	8	2.5425	27.6196	22.7595	25.9443	27.2369	17.5
No log	3.0	12	2.4526	27.6196	22.7595	25.9443	27.2369	17.5
No log	4.0	16	2.3977	27.6196	22.7595	25.9443	27.2369	17.5
No log	5.0	20	2.3764	27.5144	22.6391	25.9369	27.1193	17.5

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Datasets 2.7.1
• Tokenizers 0.13.2