t5-small-finetuned-cnn-news – AI Model by kdk07718 | AlphaNeural AI

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kdk07718/
t5-small-finetuned-cnn-news

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5-small-finetuned-cnn-news

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

Loss: 1.8421
Rouge1: 24.3896
Rouge2: 12.1278
Rougel: 20.4284
Rougelsum: 23.1568

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: 0.00056
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.0267	1.0	718	1.8134	24.5126	12.0487	20.3865	23.2129
1.8289	2.0	1436	1.8150	24.4837	12.142	20.5671	23.3283
1.6833	3.0	2154	1.8148	23.9291	11.7959	20.0136	22.7257
1.576	4.0	2872	1.8271	24.2228	11.8815	20.2007	22.9745
1.4965	5.0	3590	1.8421	24.3896	12.1278	20.4284	23.1568

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1