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t5-small-finetuned-cc-news-es-titles – AI Model by casasdorjunior | AlphaNeural AI
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t5-small-finetuned-cc-news-es-titles
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
cc-news-es-titles
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-cc-news-es-titles
This model is a fine-tuned version of
t5-small
on the cc-news-es-titles dataset. It achieves the following results on the evaluation set:
Loss: 2.6383
Rouge1: 16.701
Rouge2: 4.1265
Rougel: 14.8175
Rougelsum: 14.8193
Gen Len: 18.9159
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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.8439
1.0
23133
2.6383
16.701
4.1265
14.8175
14.8193
18.9159
Framework versions
Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
