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t5-small-finetuned-eli5 – AI Model by bkim12 | AlphaNeural AI
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t5-small-finetuned-eli5
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transformers
pytorch
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
This model is a fine-tuned version of
t5-small
on the eli5 dataset. It achieves the following results on the evaluation set:
Loss: 3.6782
Rouge1: 13.0163
Rouge2: 1.9263
Rougel: 10.484
Rougelsum: 11.8234
Gen Len: 18.9951
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
3.8841
1.0
17040
3.6782
13.0163
1.9263
10.484
11.8234
18.9951
Framework versions
Transformers 4.22.1
Pytorch 1.12.1
Datasets 2.5.1
Tokenizers 0.12.1
