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llm_finetune – AI Model by Theosphil | AlphaNeural AI
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Theosphil
/
llm_finetune
like
0
transformers
tf
mt5
text2text-generation
generated_from_keras_callback
google/mt5-small
finetune
apache-2.0
endpoints_compatible
us
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Theosphil/llm_finetune
This model is a fine-tuned version of
google/mt5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 4.1960
Validation Loss: 3.4139
Epoch: 7
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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 9672, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
10.5150
4.8716
0
6.3881
3.9782
1
5.4626
3.6689
2
4.9547
3.5794
3
4.6427
3.5089
4
4.4250
3.4555
5
4.2916
3.4275
6
4.1960
3.4139
7
Framework versions
Transformers 4.32.1
TensorFlow 2.12.0
Datasets 2.14.4
Tokenizers 0.13.3
