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t5-base-finetuned-elif-attempt1 – AI Model by ammarpl | AlphaNeural AI
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t5-base-finetuned-elif-attempt1
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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-base-finetuned-elif-attempt1
This model is a fine-tuned version of
t5-base
on the eli5 dataset. It achieves the following results on the evaluation set:
Loss: 5.3889
Rouge1: 3.9675
Rouge2: 0.248
Rougel: 3.454
Rougelsum: 3.765
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: 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
5.8271
1.0
17040
5.3889
3.9675
0.248
3.454
3.765
19.0
Framework versions
Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1
