t5-small_finetuned_billsum_model_bs16_lr2e-05 – AI Model by alaahussein | AlphaNeural AI

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t5-small_finetuned_billsum_model_bs16_lr2e-05

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t5-small_finetuned_billsum_model_bs16_lr2e-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: 2.0394
Rouge1: 0.1928
Rouge2: 0.0973
Rougel: 0.1665
Rougelsum: 0.1666
Gen Len: 19.0

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
No log	1.0	62	2.0468	0.1927	0.0976	0.1668	0.1669	19.0
No log	2.0	124	2.0413	0.1933	0.0975	0.1663	0.1665	19.0
No log	3.0	186	2.0421	0.1946	0.0978	0.1675	0.1676	19.0
No log	4.0	248	2.0394	0.1928	0.0973	0.1665	0.1666	19.0

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3