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t5-small-finetuned-xsum-ashishkhandelwal – AI Model by ashish23993 | AlphaNeural AI
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t5-small-finetuned-xsum-ashishkhandelwal
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
multi_news
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-xsum-ashishkhandelwal
This model is a fine-tuned version of
t5-small
on the multi_news dataset. It achieves the following results on the evaluation set:
Loss: 2.7453
Rouge1: 14.7089
Rouge2: 4.6798
Rougel: 11.2024
Rougelsum: 13.0025
Gen Len: 18.9968
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
2.9805
1.0
2811
2.7453
14.7089
4.6798
11.2024
13.0025
18.9968
Framework versions
Transformers 4.17.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1
