T5-small_finetuned_billsum_subset_model_bs16_lr0.0001 – AI Model by alaahussein | AlphaNeural AI

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T5-small_finetuned_billsum_subset_model_bs16_lr0.0001

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T5-small_finetuned_billsum_subset_model_bs16_lr0.0001

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

Loss: 1.9940
Rouge1: 0.1896
Rouge2: 0.0988
Rougel: 0.1651
Rougelsum: 0.165
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: 0.0001
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	2.0102	0.1958	0.1006	0.1704	0.1702	19.0	0.0008
No log	2.0	124	2.0012	0.1874	0.0925	0.1632	0.1633	19.0	0.0007
No log	3.0	186	1.9932	0.1876	0.0933	0.1636	0.1634	19.0	0.0007
No log	4.0	248	1.9940	0.1896	0.0988	0.1651	0.165	19.0	0.0008

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3