txt_summary_model – AI Model by siddhantgore | AlphaNeural AI

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siddhantgore/
txt_summary_model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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txt_summary_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: 2.5514
Rouge1: 0.1389
Rouge2: 0.0536
Rougel: 0.1181
Rougelsum: 0.1176
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	2.8496	0.1231	0.0345	0.1031	0.103	19.0
No log	2.0	124	2.6339	0.1302	0.0452	0.1107	0.1105	19.0
No log	3.0	186	2.5686	0.1373	0.0518	0.1163	0.1158	19.0
No log	4.0	248	2.5514	0.1389	0.0536	0.1181	0.1176	19.0

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3