TextSummarizerAI_Basic_v1 – AI Model by Bhotuya | AlphaNeural AI

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Bhotuya/
TextSummarizerAI_Basic_v1

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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TextSummarizerAI_Basic_v1

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: 2.3319
Rouge1: 0.1985
Rouge2: 0.1019
Rougel: 0.1702
Rougelsum: 0.17
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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.7851	0.1315	0.0434	0.1122	0.1124	19.0
No log	2.0	124	2.5568	0.1442	0.0559	0.1197	0.1193	19.0
No log	3.0	186	2.4669	0.1536	0.062	0.127	0.1268	19.0
No log	4.0	248	2.4149	0.1768	0.0786	0.1472	0.1472	19.0
No log	5.0	310	2.3847	0.1947	0.0959	0.1653	0.1651	19.0
No log	6.0	372	2.3634	0.1973	0.0999	0.1691	0.1688	19.0
No log	7.0	434	2.3487	0.1981	0.1017	0.1704	0.1703	19.0
No log	8.0	496	2.3404	0.1982	0.102	0.1706	0.1703	19.0
2.7541	9.0	558	2.3333	0.199	0.1024	0.1711	0.1709	19.0
2.7541	10.0	620	2.3319	0.1985	0.1019	0.1702	0.17	19.0

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2