t5-small_finetuned_billsum_model_bs8_lr0.0001 – AI Model by alaahussein | AlphaNeural AI

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t5-small_finetuned_billsum_model_bs8_lr0.0001

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t5-small_finetuned_billsum_model_bs8_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: 2.0568
Rouge1: 0.1936
Rouge2: 0.1001
Rougel: 0.1666
Rougelsum: 0.1668
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
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	124	2.1330	0.194	0.0973	0.1654	0.1657	19.0
No log	2.0	248	2.0941	0.1957	0.0984	0.1674	0.1677	19.0
No log	3.0	372	2.0736	0.1973	0.1033	0.1695	0.1698	19.0
No log	4.0	496	2.0568	0.1936	0.1001	0.1666	0.1668	19.0

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3