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deed-summarization_version_9 – AI Model by Hasanur525 | AlphaNeural AI
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Hasanur525
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deed-summarization_version_9
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transformers
tensorboard
safetensors
mt5
text2text-generation
generated_from_trainer
Hasanur525/deed-summarization_version_5
finetune
endpoints_compatible
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deed-summarization_version_9
This model is a fine-tuned version of
Hasanur525/deed-summarization_version_5
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3233
Rouge1: 0.0
Rouge2: 0.0
Rougel: 0.0
Rougelsum: 0.0
Gen Len: 83.5
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.472
1.0
1
1.3233
0.0
0.0
0.0
0.0
83.5
Framework versions
Transformers 4.37.2
Pytorch 2.1.0.dev20230811+cu121
Datasets 2.17.0
Tokenizers 0.15.2
