Amrit_billsum_model2 – AI Model by asandhir | AlphaNeural AI

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asandhir/
Amrit_billsum_model2

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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Amrit_billsum_model2

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

Loss: 2.3921
Rouge1: 0.1912
Rouge2: 0.0871
Rougel: 0.1597
Rougelsum: 0.1598
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	2.4589	0.1558	0.0555	0.1294	0.1295	19.0
No log	2.0	124	2.4180	0.1849	0.0805	0.1539	0.1541	19.0
No log	3.0	186	2.3985	0.1903	0.0855	0.1583	0.1585	19.0
No log	4.0	248	2.3921	0.1912	0.0871	0.1597	0.1598	19.0

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.2
Tokenizers 0.13.3