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google-mt5-small-ibn-Shaddad-v1 – AI Model by Ahmed007 | AlphaNeural AI
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Ahmed007
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google-mt5-small-ibn-Shaddad-v1
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transformers
pytorch
tensorboard
t5
text2text-generation
Poet
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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google-mt5-small-ibn-Shaddad-v1
This model is a fine-tuned version of
google/t5-v1_1-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0015
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: 5.6e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.8795
1.0
1067
0.0011
0.0505
2.0
2134
0.0015
Framework versions
Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
