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t5-jumoreski – AI Model by Defetya | AlphaNeural AI
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Defetya
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t5-jumoreski
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transformers
pytorch
tf
t5
text2text-generation
generated_from_keras_callback
ai-forever/FRED-T5-1.7B
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-jumoreski
This model is a fine-tuned version of
ai-forever/FRED-T5-1.7B
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.3638
Epoch: 4
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:
optimizer: {'name': 'Adam', 'weight_decay': 0.01, 'clipnorm': 1, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'CosineDecay', 'config': {'initial_learning_rate': 2e-06, 'decay_steps': 5345, 'alpha': 5e-09, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: mixed_bfloat16
Training results
Train Loss
Epoch
0.3673
0
0.3652
1
0.3645
2
0.3645
3
0.3638
4
Framework versions
Transformers 4.33.3
TensorFlow 2.12.0
Datasets 2.14.5
Tokenizers 0.13.3
