Rocketknight1
/

marian-finetuned-kde4-en-to-fr

Text2Text Generation

generated_from_keras_callback

Inference Endpoints

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Rocketknight1 HF staff commited on Jan 17, 2022

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6966f8f

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1 Parent(s): 5d7e166

Training in progress epoch 0

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README.md +4 -4
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -14,8 +14,8 @@ probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.0608
-- Validation Loss: 0.8784
 - Epoch: 0
 ## Model description
@@ -36,13 +36,13 @@ More information needed
 The following hyperparameters were used during training:
 - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 17733, '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 |
 |:----------:|:---------------:|:-----:|
-| 1.0608     | 0.8784          | 0     |
 ### Framework versions

 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Train Loss: 1.0615
+- Validation Loss: 0.8832
 - Epoch: 0
 ## Model description
 The following hyperparameters were used during training:
 - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 17733, '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: float32
 ### Training results
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
+| 1.0615     | 0.8832          | 0     |
 ### Framework versions

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