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t5-small-finetuned-t5-summarization_3 – AI Model by ajitjadhav | AlphaNeural AI
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t5-small-finetuned-t5-summarization_3
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
cnn_dailymail
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-t5-summarization_3
This model is a fine-tuned version of
t5-small
on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
Loss: 1.8102
Rouge1: 24.4517
Rouge2: 11.7161
Rougel: 20.205
Rougelsum: 23.053
Gen Len: 18.9999
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: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.0073
1.0
17945
1.8144
24.4341
11.7155
20.1969
23.0364
18.9999
1.9855
2.0
35890
1.8102
24.4517
11.7161
20.205
23.053
18.9999
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
