test-textsum-t5-1 – AI Model by mrizalf7 | AlphaNeural AI

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mrizalf7/
test-textsum-t5-1

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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test-textsum-t5-1

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

Loss: 2.4114
Rouge1: 0.1898
Rouge2: 0.0921
Rougel: 0.1611
Rougelsum: 0.161
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	2.4779	0.154	0.0601	0.1283	0.1281	19.0
No log	2.0	124	2.4391	0.1823	0.0871	0.1543	0.1542	19.0
No log	3.0	186	2.4182	0.1877	0.0902	0.1591	0.1591	19.0
No log	4.0	248	2.4114	0.1898	0.0921	0.1611	0.161	19.0

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3