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flan-t5-small-finetuned-xsum – AI Model by Aryan0310 | AlphaNeural AI
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Aryan0310
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flan-t5-small-finetuned-xsum
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
xsum
google/flan-t5-small
finetune
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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flan-t5-small-finetuned-xsum
This model is a fine-tuned version of
google/flan-t5-small
on the xsum dataset. It achieves the following results on the evaluation set:
Loss: nan
Rouge1: 28.0404
Rouge2: 7.9122
Rougel: 22.2609
Rougelsum: 22.26
Gen Len: 18.8046
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
0.0
1.0
12753
nan
28.0404
7.9122
22.2609
22.26
18.8046
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
