t5-base-finetuned-amazon-en-es – AI Model by Aakkash | AlphaNeural AI

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Aakkash/
t5-base-finetuned-amazon-en-es

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text2text-generation

generated_from_trainer

google-t5/t5-base

text-generation-inference

endpoints_compatible

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t5-base-finetuned-amazon-en-es

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 5.0971
Rouge1: 5.4907
Rouge2: 0.0
Rougel: 5.4907
Rougelsum: 5.4907

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: 5.6e-05
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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
5.7476	1.0	2	5.4826	8.0818	0.0	8.0898	6.7159
5.6005	2.0	4	5.3150	5.4125	0.0	5.4125	5.4654
5.4222	3.0	6	5.2311	5.3768	0.0	5.3768	5.4298
4.9619	4.0	8	5.1824	6.6672	0.0	6.6672	6.6794
4.2747	5.0	10	5.1472	6.6672	0.0	6.6672	6.6794
4.2784	6.0	12	5.1219	5.4907	0.0	5.4907	5.4907
5.2337	7.0	14	5.1052	5.4907	0.0	5.4907	5.4907
4.7063	8.0	16	5.0971	5.4907	0.0	5.4907	5.4907

Framework versions

Transformers 4.32.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3