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mt5-base-finetuned-rabbi-kook – AI Model by virto | AlphaNeural AI
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mt5-base-finetuned-rabbi-kook
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transformers
pytorch
mt5
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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mt5-base-finetuned-rabbi-kook
This model is a fine-tuned version of
google/mt5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.3861
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: 1
eval_batch_size: 1
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
3.2102
1.0
3567
2.4526
3.0283
2.0
7134
2.3861
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.11.0
