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t5-v1_1-base-abs_qa – AI Model by 0x70DA | AlphaNeural AI
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0x70DA
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t5-v1_1-base-abs_qa
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transformers
pytorch
tf
safetensors
t5
text2text-generation
generated_from_keras_callback
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-v1_1-base-abs_qa
This model is a fine-tuned version of
MahmoudH/t5-v1_1-base-finetuned-sci_summ
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.5545
Validation Loss: 0.6041
Epoch: 2
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': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 87288, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
0.8647
0.6401
0
0.6569
0.6209
1
0.5545
0.6041
2
Framework versions
Transformers 4.26.1
TensorFlow 2.11.0
Datasets 2.9.0
Tokenizers 0.13.2
