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cnn_dailymail_t5_small – AI Model by chunwoolee0 | AlphaNeural AI
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cnn_dailymail_t5_small
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
cnn_dailymail
google-t5/t5-small
finetune
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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cnn_dailymail_t5_small
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: 1.7271
Rouge1: 0.2321
Rouge2: 0.0955
Rougel: 0.1887
Rougelsum: 0.1887
Gen Len: 18.9998
Model description
Text-To-Text Transfer Transformer (T5) T5-Small is the checkpoint with 60 million parameters.
Intended uses & limitations
This is an exercise for finetuning of pretrained t5 model.
Training and evaluation data
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.9158
1.0
10000
1.7333
0.2313
0.0948
0.1879
0.1879
18.9998
1.9316
2.0
20000
1.7271
0.2321
0.0955
0.1887
0.1887
18.9998
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
