my_t5_model – AI Model by Chung-Fan | AlphaNeural AI

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my_t5_model

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text2text-generation

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text-generation-inference

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my_t5_model

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

Loss: 2.3682
Rouge1: 0.1961
Rouge2: 0.098
Rougel: 0.1677
Rougelsum: 0.1674
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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.4332	0.163	0.0667	0.1342	0.134	19.0
No log	2.0	124	2.3924	0.1871	0.0892	0.1583	0.1582	19.0
No log	3.0	186	2.3736	0.194	0.0959	0.1658	0.1656	19.0
No log	4.0	248	2.3682	0.1961	0.098	0.1677	0.1674	19.0

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3