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t5-small-finetuned-bbc – AI Model by furyhawk | AlphaNeural AI
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t5-small-finetuned-bbc
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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-bbc
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3238
Rouge1: 21.2266
Rouge2: 16.0927
Rougel: 19.6785
Rougelsum: 19.8849
Gen Len: 19.0
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: 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
0.4882
1.0
1001
0.3238
21.2266
16.0927
19.6785
19.8849
19.0
Framework versions
Transformers 4.12.0
Pytorch 1.10.0
Datasets 1.14.0
Tokenizers 0.10.3
