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arxiv_model – AI Model by scural | AlphaNeural AI
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scural
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arxiv_model
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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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Model card
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arxiv_model
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.7905
Rouge1: 0.2843
Rouge2: 0.1224
Rougel: 0.2425
Rougelsum: 0.2415
Gen Len: 18.73
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
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
50
2.8857
0.2822
0.1222
0.2415
0.2397
18.81
No log
2.0
100
2.7905
0.2843
0.1224
0.2425
0.2415
18.73
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
