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flan-t5-base-qg-squad_v2 – AI Model by sidovic | AlphaNeural AI
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flan-t5-base-qg-squad_v2
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
squad_v2
apache-2.0
text-generation-inference
endpoints_compatible
us
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flan-t5-base-qg-squad_v2
This model is a fine-tuned version of
google/flan-t5-base
on the squad_v2 dataset. It achieves the following results on the evaluation set:
eval_loss: 0.6469
eval_rouge1: 39.1078
eval_rouge2: 18.2571
eval_rougeL: 35.879
eval_rougeLsum: 35.8905
eval_meteor: 34.5328
eval_bleu4: 13.7701
eval_bleu-p1: 39.9710
eval_bleu-p2: 15.9261
eval_bleu-p3: 9.5710
eval_bleu-p4: 6.2028
eval_gen_len: 14.6978
eval_runtime: 1044.5092
eval_samples_per_second: 11.367
eval_steps_per_second: 1.422
epoch: 3.0
step: 48870
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=2.5005e-05
lr_scheduler_type: linear
num_epochs: 5
Framework versions
Transformers 4.28.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3