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t5-small-finetuned-titles – AI Model by arunc212 | AlphaNeural AI
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t5-small-finetuned-titles
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
xsum
google-t5/t5-small
finetune
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-titles
This model is a fine-tuned version of
t5-small
on the xsum dataset. It achieves the following results on the evaluation set:
Loss: 2.4779
Rouge1: 28.3518
Rouge2: 7.7604
Rougel: 22.2832
Rougelsum: 22.2765
Gen Len: 18.83
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
2.7068
1.0
12753
2.4779
28.3518
7.7604
22.2832
22.2765
18.83
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
