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mixed_sum_t5 – AI Model by eren23 | AlphaNeural AI
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mixed_sum_t5
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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mixed_sum_t5
This model is a fine-tuned version of
t5-small
on a mixture of summarization dataset. It achieves the following results on the evaluation set:
Loss: 2.2880
Rouge1: 0.221
Rouge2: 0.084
Rougel: 0.1806
Rougelsum: 0.1806
Gen Len: 18.8106
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: 24
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
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.4147
1.0
24559
2.2880
0.221
0.084
0.1806
0.1806
18.8106
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
