Training in progress epoch 0

README.md

@@ -15,9 +15,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ha-en](https://huggingface.co/Helsinki-NLP/opus-mt-ha-en) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.7697
-- Validation Loss: 1.1397
-- Epoch: 7
+- Train Loss: 1.2258
+- Validation Loss: 1.0995
+- Epoch: 0
 
 ## Model description
 
@@ -36,21 +36,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 30610, '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': 0.01}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 15305, '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': 0.01}
 - training_precision: mixed_float16
 
 ### Training results
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 1.2289     | 1.1080          | 0     |
-| 1.0949     | 1.1099          | 1     |
-| 1.0078     | 1.1135          | 2     |
-| 0.9412     | 1.1249          | 3     |
-| 0.8863     | 1.1283          | 4     |
-| 0.8407     | 1.1336          | 5     |
-| 0.8017     | 1.1381          | 6     |
-| 0.7697     | 1.1397          | 7     |
+| 1.2258     | 1.0995          | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f26b90a8e1c02961a2595dac16f1cc8674864911071d62bef5cf6f5fc66f5581
 size 298137172