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results – AI Model by Moulali161 | AlphaNeural AI
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Moulali161
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results
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tensorboard
safetensors
t5
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
us
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Model card
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results
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8118
Rouge1: 23.3885
Rouge2: 9.7825
Rougel: 19.1521
Rougelsum: 19.1624
Bleu: 1.5855
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Bleu
0.9101
1.0
6460
0.8118
23.3885
9.7825
19.1521
19.1624
1.5855
Framework versions
Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1
