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t5-small-finetuned-multi-news – AI Model by nikhedward | AlphaNeural AI
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nikhedward
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t5-small-finetuned-multi-news
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
multi_news
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-multi-news
This model is a fine-tuned version of
t5-small
on the multi_news dataset. It achieves the following results on the evaluation set:
Loss: 2.7775
Rouge1: 14.5549
Rouge2: 4.5934
Rougel: 11.1178
Rougelsum: 12.8964
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
3.0211
1.0
1405
2.7775
14.5549
4.5934
11.1178
12.8964
19.0
Framework versions
Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6
