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test-huggingface-ibm – AI Model by getrajeev03 | AlphaNeural AI
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test-huggingface-ibm
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
samsum
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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test-huggingface-ibm
This model is a fine-tuned version of
google/flan-t5-base
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.3861
Rouge1: 46.7991
Rouge2: 23.253
Rougel: 39.2606
Rougelsum: 43.0759
Gen Len: 17.1880
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
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
1.4378
1.0
1842
1.3861
46.7991
23.253
39.2606
43.0759
17.1880
Framework versions
Transformers 4.30.2
Pytorch 1.12.1
Datasets 2.13.0
Tokenizers 0.11.0
