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deed-summarization_version_1 – AI Model by Hasanur525 | AlphaNeural AI
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deed-summarization_version_1
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transformers
tensorboard
safetensors
mt5
text2text-generation
generated_from_trainer
csebuetnlp/mT5_multilingual_XLSum
finetune
endpoints_compatible
us
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deed-summarization_version_1
This model is a fine-tuned version of
csebuetnlp/mT5_multilingual_XLSum
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.2487
Rouge1: 0.0
Rouge2: 0.0
Rougel: 0.0
Rougelsum: 0.0
Gen Len: 49.9181
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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5000
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
3.5903
1.0
232
3.5371
0.0
0.0
0.0
0.0
35.1573
2.577
2.0
464
2.2487
0.0
0.0
0.0
0.0
49.9181
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
