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t5-small-shuffled_take3-small – AI Model by chv5 | AlphaNeural AI
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chv5
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t5-small-shuffled_take3-small
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
xsum
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-small-shuffled_take3-small
This model is a fine-tuned version of
t5-small
on the xsum dataset. It achieves the following results on the evaluation set:
Loss: 0.4505
Rouge1: 11.883
Rouge2: 9.4784
Rougel: 10.9978
Rougelsum: 11.5961
Gen Len: 18.9834
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: 6
eval_batch_size: 6
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
0.5205
1.0
34008
0.4505
11.883
9.4784
10.9978
11.5961
18.9834
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1
