T5-small_finetuned_billsum_subset_model_bs16_lr5e-05 – AI Model by alaahussein | AlphaNeural AI

You can deploy this model and start earning money today!

alaahussein/
T5-small_finetuned_billsum_subset_model_bs16_lr5e-05

like

0

text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

Views

No views yet

T5-small_finetuned_billsum_subset_model_bs16_lr5e-05

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

Loss: 2.0113
Rouge1: 0.1918
Rouge2: 0.0975
Rougel: 0.1668
Rougelsum: 0.1665
Gen Len: 19.0
Bleu: 0.0008

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: 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	Bleu
No log	1.0	62	2.0260	0.1936	0.0982	0.1681	0.1678	19.0	0.0008
No log	2.0	124	2.0155	0.1908	0.0949	0.1659	0.1656	19.0	0.0007
No log	3.0	186	2.0131	0.1902	0.0948	0.1651	0.1646	19.0	0.0008
No log	4.0	248	2.0113	0.1918	0.0975	0.1668	0.1665	19.0	0.0008

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3