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fine_tuned_en_telugu_model_regularized – AI Model by karthikmangu | AlphaNeural AI
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karthikmangu
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fine_tuned_en_telugu_model_regularized
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transformers
tf
marian
text2text-generation
generated_from_keras_callback
Helsinki-NLP/opus-mt-en-dra
finetune
apache-2.0
endpoints_compatible
us
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fine_tuned_en_telugu_model_regularized
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-dra
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.9184
Validation Loss: 1.1864
Epoch: 5
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': 1e-05, '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': np.float32(5e-05), 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
1.4786
1.2082
0
1.1520
1.1597
1
1.0920
1.1348
2
1.0447
1.1408
3
0.9878
1.1683
4
0.9184
1.1864
5
Framework versions
Transformers 4.56.0
TensorFlow 2.19.0
Datasets 4.0.0
Tokenizers 0.22.0
