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t5-small-finetuned-xsum – AI Model by Abhishek9998 | AlphaNeural AI
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t5-small-finetuned-xsum
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
6k_resumes_t2t
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-xsum
This model is a fine-tuned version of
t5-small
on the 6k_resumes_t2t dataset.
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
No log
1.0
194
1.6911
6.7882
3.4112
6.4385
6.4893
19.0
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu117
Datasets 2.9.0
Tokenizers 0.13.2
