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t5-small-finetuned-eli5-neel-final – AI Model by neelmehta00 | AlphaNeural AI
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t5-small-finetuned-eli5-neel-final
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
eli5
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-eli5-neel-final
This model is a fine-tuned version of
t5-small
on the eli5 dataset. It achieves the following results on the evaluation set:
Loss: 3.5993
Rouge1: 15.1409
Rouge2: 2.1615
Rougel: 12.7532
Rougelsum: 13.9849
Gen Len: 18.9998
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
3.8014
1.0
17040
3.5993
15.1409
2.1615
12.7532
13.9849
18.9998
Framework versions
Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1