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t5-base-finetuned-samsum-test – AI Model by sohamchougule | AlphaNeural AI
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t5-base-finetuned-samsum-test
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
samsum
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-base-finetuned-samsum-test
This model is a fine-tuned version of
t5-base
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.3827
Rouge1: 46.1056
Rouge2: 22.0129
Rougel: 38.4721
Rougelsum: 42.0482
Gen Len: 16.4737
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: 0.0002
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
1.5045
1.0
7366
1.3827
46.1056
22.0129
38.4721
42.0482
16.4737
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
