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bn_sum_mt5_base – AI Model by MahdiSUST | AlphaNeural AI
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MahdiSUST
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bn_sum_mt5_base
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transformers
pytorch
tensorboard
mt5
text2text-generation
generated_from_trainer
bigscience-openrail-m
endpoints_compatible
us
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mt5_large_riju_data
This model is a fine-tuned version of
MahdiSUST/bn_sum
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 1.3531
eval_rouge1: {'precision': 41.8541697896367, 'recall': 41.3654041539666, 'fmeasure': 40.98106539607074}
eval_rougeL: {'precision': 39.824364163293794, 'recall': 39.31906760605605, 'fmeasure': 38.97108720823315}
eval_runtime: 229.14
eval_samples_per_second: 4.159
eval_steps_per_second: 2.082
epoch: 9
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: 5.6e-05
train_batch_size: 9
eval_batch_size: 9
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Framework versions
Transformers 4.27.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
