my_awesome_billsum_model – AI Model by mnnit | AlphaNeural AI

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mnnit/
my_awesome_billsum_model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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my_awesome_billsum_model

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

Loss: 2.5270
Rouge1: 0.1418
Rouge2: 0.0481
Rougel: 0.117
Rougelsum: 0.1169
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	2.8265	0.1252	0.033	0.105	0.1048	19.0
No log	2.0	124	2.6057	0.136	0.0445	0.1131	0.1131	19.0
No log	3.0	186	2.5435	0.1418	0.0489	0.1165	0.1164	19.0
No log	4.0	248	2.5270	0.1418	0.0481	0.117	0.1169	19.0

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2