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enbnsumm-mT5-crossSum – AI Model by balaramas | AlphaNeural AI
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balaramas
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enbnsumm-mT5-crossSum
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transformers
tensorboard
safetensors
mt5
text2text-generation
generated_from_trainer
en
csebuetnlp/mT5_m2o_hindi_crossSum
finetune
endpoints_compatible
us
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enbnsumm-mT5-crossSum
This model is a fine-tuned version of
csebuetnlp/mT5_m2o_hindi_crossSum
on an unknown dataset.
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
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0
Training results
Framework versions
Transformers 4.39.1
Pytorch 2.3.0a0+ebedce2
Datasets 2.18.0
Tokenizers 0.15.2
