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T5-model-1-d-2 – AI Model by theojolliffe | AlphaNeural AI
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T5-model-1-d-2
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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-model-1-d-2
This model is a fine-tuned version of
t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1480
Rouge1: 85.8534
Rouge2: 73.1193
Rougel: 84.9795
Rougelsum: 84.9322
Gen Len: 14.0575
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: 2
eval_batch_size: 2
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
0.2301
1.0
4022
0.1480
85.8534
73.1193
84.9795
84.9322
14.0575
Framework versions
Transformers 4.21.2
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
