my_text_summarization_model – AI Model by farfalla | AlphaNeural AI

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farfalla/
my_text_summarization_model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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my_text_summarization_model

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

Loss: 2.3919
Rouge1: 0.1518
Rouge2: 0.0605
Rougel: 0.1256
Rougelsum: 0.126
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	2.5162	0.133	0.0432	0.1104	0.1106	19.0
No log	2.0	124	2.4373	0.139	0.0484	0.1143	0.1144	19.0
No log	3.0	186	2.4020	0.1459	0.0557	0.1212	0.1215	19.0
No log	4.0	248	2.3919	0.1518	0.0605	0.1256	0.126	19.0

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1