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en_bn_summarize_v8 – AI Model by mHossain | AlphaNeural AI
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mHossain
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en_bn_summarize_v8
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transformers
tensorboard
safetensors
mt5
text2text-generation
generated_from_trainer
csebuetnlp/mT5_m2m_crossSum
finetune
endpoints_compatible
us
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en_bn_summarize_v8
This model is a fine-tuned version of
csebuetnlp/mT5_m2m_crossSum
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
Rouge1: 2.6956
Rouge2: 0.2754
Rougel: 2.3694
Rougelsum: 2.6129
Gen Len: 28.045
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5000
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
625
nan
2.6956
0.2754
2.3694
2.6129
28.045
Framework versions
Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
