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t5-base-finetuned-ner_docred_full – AI Model by zblaaa | AlphaNeural AI
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t5-base-finetuned-ner_docred_full
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-base-finetuned-ner_docred_full
This model is a fine-tuned version of
t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2684
Rouge1: 6.3917
Rouge2: 4.6969
Rougel: 6.355
Rougelsum: 6.3447
Gen Len: 20.0
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: 1
eval_batch_size: 1
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
0.3569
1.0
3000
0.2684
6.3917
4.6969
6.355
6.3447
20.0
Framework versions
Transformers 4.30.0.dev0
Pytorch 2.1.0.dev20230611+cu118
Datasets 2.12.0
Tokenizers 0.13.3
