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paper-summarization – AI Model by machinelearningzuu | AlphaNeural AI
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paper-summarization
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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paper-summarization
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.3296
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: 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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
3.2336
1.0
78
2.5990
2.7888
2.0
156
2.3754
2.5667
3.0
234
2.3296
Framework versions
Transformers 4.31.0
Pytorch 1.13.1
Datasets 2.12.0
Tokenizers 0.13.3
