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leetcoder-qa – AI Model by Trickshotblaster | AlphaNeural AI
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Trickshotblaster
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leetcoder-qa
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transformers
tf
t5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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leetcoder-qa
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 4.1922
Validation Loss: 3.8900
Epoch: 9
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': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
6.3985
4.7493
0
4.8760
4.4969
1
4.7016
4.3654
2
4.5848
4.2650
3
4.5086
4.1827
4
4.4307
4.1106
5
4.3581
4.0471
6
4.2923
3.9898
7
4.2397
3.9375
8
4.1922
3.8900
9
Framework versions
Transformers 4.30.1
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3
