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t5-small-finetuned-giga-test-full – AI Model by MJS2022 | AlphaNeural AI
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MJS2022
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t5-small-finetuned-giga-test-full
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-giga-test-full
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: nan
Rouge1: 0.0
Rouge2: 0.0
Rougel: 0.0
Rougelsum: 0.0
Gen Len: 0.0
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: 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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.0
1.0
11791
nan
0.0
0.0
0.0
0.0
0.0
Framework versions
Transformers 4.25.1
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
