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: 0.8944
-- Validation Loss: 1.0926
-- Epoch: 4
+- Train Loss: 5.3200
+- Validation Loss: 4.9969
+- Epoch: 0
 
 ## Model description
 
@@ -36,18 +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': 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}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, '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 |
 |:----------:|:---------------:|:-----:|
-| 1.2258     | 1.0995          | 0     |
-| 1.0873     | 1.0974          | 1     |
-| 1.0008     | 1.0933          | 2     |
-| 0.9378     | 1.0935          | 3     |
-| 0.8944     | 1.0926          | 4     |
+| 5.3200     | 4.9969          | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3e4f1384baa739330b5bf2ca739b264731e05b3ab9ceffca9bf865a1d8c6d663
+oid sha256:119b4c2ef12cbb0059ab479524f9befdeb287d6ae632db23693874335daf58d1
 size 298137172