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summary-flant5-finetuned – AI Model by aqueel9108 | AlphaNeural AI
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summary-flant5-finetuned
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safetensors
t5
generated_from_trainer
google/flan-t5-base
finetune
apache-2.0
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summary-t5-base-50-epoch
This model is a fine-tuned version of
google/flan-t5-base
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 1.5638
eval_rouge1: 14.8727
eval_rouge2: 7.2985
eval_rougeL: 12.0653
eval_rougeLsum: 13.605
eval_gen_len: 19.0
eval_runtime: 88.6491
eval_samples_per_second: 3.553
eval_steps_per_second: 1.184
epoch: 38.0
step: 35872
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: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
