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serhii-korobchenko
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mt5-small_poetry_Helsinki-2024-02-23-17-44-34

Text2Text Generation
Transformers
TensorFlow
marian
generated_from_keras_callback
Inference Endpoints
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serhii-korobchenko commited on
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End of training

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  1. README.md +23 -23
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ru-uk](https://huggingface.co/Helsinki-NLP/opus-mt-ru-uk) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.0849
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- - Validation Loss: 2.3247
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  - Epoch: 19
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  ## Model description
@@ -36,33 +36,33 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-06, 'decay_steps': 340, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 1e-06}
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  - training_precision: mixed_float16
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  ### Training results
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 0.1952 | 2.2998 | 0 |
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- | 0.1739 | 2.3022 | 1 |
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- | 0.1706 | 2.3045 | 2 |
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- | 0.1603 | 2.3055 | 3 |
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- | 0.1395 | 2.3064 | 4 |
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- | 0.1297 | 2.3077 | 5 |
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- | 0.1273 | 2.3082 | 6 |
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- | 0.1310 | 2.3089 | 7 |
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- | 0.1171 | 2.3108 | 8 |
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- | 0.1043 | 2.3141 | 9 |
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- | 0.1011 | 2.3161 | 10 |
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- | 0.1013 | 2.3183 | 11 |
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- | 0.1042 | 2.3196 | 12 |
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- | 0.0908 | 2.3210 | 13 |
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- | 0.0902 | 2.3225 | 14 |
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- | 0.0883 | 2.3232 | 15 |
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- | 0.0909 | 2.3240 | 16 |
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- | 0.0794 | 2.3244 | 17 |
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- | 0.0842 | 2.3246 | 18 |
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- | 0.0849 | 2.3247 | 19 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ru-uk](https://huggingface.co/Helsinki-NLP/opus-mt-ru-uk) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0194
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+ - Validation Loss: 2.6788
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  - Epoch: 19
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  ## Model description
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-06, 'decay_steps': 2740, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 1e-06}
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  - training_precision: mixed_float16
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  ### Training results
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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+ | 0.0892 | 2.5969 | 0 |
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+ | 0.0658 | 2.6050 | 1 |
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+ | 0.0609 | 2.6026 | 2 |
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+ | 0.0519 | 2.6134 | 3 |
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+ | 0.0411 | 2.6232 | 4 |
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+ | 0.0392 | 2.6326 | 5 |
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+ | 0.0333 | 2.6448 | 6 |
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+ | 0.0311 | 2.6494 | 7 |
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+ | 0.0277 | 2.6555 | 8 |
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+ | 0.0245 | 2.6601 | 9 |
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+ | 0.0249 | 2.6607 | 10 |
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+ | 0.0234 | 2.6678 | 11 |
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+ | 0.0213 | 2.6720 | 12 |
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+ | 0.0210 | 2.6713 | 13 |
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+ | 0.0192 | 2.6732 | 14 |
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+ | 0.0203 | 2.6741 | 15 |
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+ | 0.0173 | 2.6764 | 16 |
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+ | 0.0170 | 2.6778 | 17 |
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+ | 0.0170 | 2.6787 | 18 |
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+ | 0.0194 | 2.6788 | 19 |
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  ### Framework versions
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