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t5-small-finetuned-rahul-summariza1 – AI Model by rahul77 | AlphaNeural AI
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t5-small-finetuned-rahul-summariza1
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-rahul-summariza1
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8150
Rouge1: 27.4177
Rouge2: 21.7327
Rougel: 25.5996
Rougelsum: 26.7326
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: 5.6e-05
train_batch_size: 8
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.1387
1.0
16
0.8518
28.3651
21.9282
26.1118
27.2351
19.0
0.9637
2.0
32
0.8150
27.4177
21.7327
25.5996
26.7326
19.0
Framework versions
Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
