my_awesome_law_model – AI Model by Klenam | AlphaNeural AI

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Klenam/
my_awesome_law_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_law_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: 2.2170
Rouge1: 0.1575
Rouge2: 0.0733
Rougel: 0.135
Rougelsum: 0.135
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	389	2.2997	0.1558	0.0713	0.1334	0.1333	19.0
2.6025	2.0	778	2.2468	0.1571	0.0729	0.1344	0.1343	19.0
2.3823	3.0	1167	2.2222	0.157	0.0731	0.1346	0.1345	19.0
2.3471	4.0	1556	2.2170	0.1575	0.0733	0.135	0.135	19.0

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1