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flan-t5-base-esnli – AI Model by Mitrofazotron | AlphaNeural AI
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flan-t5-base-esnli
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
esnli
google/flan-t5-base
finetune
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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flan-t5-base-esnli
This model is a fine-tuned version of
google/flan-t5-base
on the esnli dataset. It achieves the following results on the evaluation set:
Loss: nan
Rouge1: 7.9134
Rouge2: 2.5218
Rougel: 6.6841
Rougelsum: 6.8287
Gen Len: 5.1981
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: 32
eval_batch_size: 32
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
8584
nan
7.9134
2.5218
6.6841
6.8287
5.1981
Framework versions
Transformers 4.36.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0