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ke_t5_small_nikl_summarization – AI Model by chunwoolee0 | AlphaNeural AI
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ke_t5_small_nikl_summarization
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
summary_and_report
KETI-AIR/ke-t5-small
finetune
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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ke_t5_small_nikl_summarization
This model is a fine-tuned version of
KETI-AIR/ke-t5-small
on the summary_and_report 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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.0
1.0
4594
nan
0.0
0.0
0.0
0.0
0.0
0.0
2.0
9188
nan
0.0
0.0
0.0
0.0
0.0
0.0
3.0
13782
nan
0.0
0.0
0.0
0.0
0.0
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3