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t5-small-finetuned-cnn-wei0 – AI Model by bochaowei | AlphaNeural AI
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t5-small-finetuned-cnn-wei0
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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-cnn-wei0
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: 1.7149
Rouge1: 24.2324
Rouge2: 11.7178
Rougel: 20.0508
Rougelsum: 22.8698
Gen Len: 19.0
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: 12
eval_batch_size: 12
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
1.9068
1.0
4786
1.7149
24.2324
11.7178
20.0508
22.8698
19.0
Framework versions
Transformers 4.11.3
Pytorch 1.9.0+cu111
Datasets 1.14.0
Tokenizers 0.10.3
