Training in progress epoch 0

README.md

@@ -5,14 +5,6 @@ tags:
 model-index:
 - name: mariav/helsinki-opus-de-en-fine-tuned-wmt16
   results: []
-datasets:
-- wmt16
-language:
-- de
-- en
-metrics:
-- bleu
-pipeline_tag: translation
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
@@ -22,43 +14,40 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-de-en](https://huggingface.co/Helsinki-NLP/opus-mt-de-en) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.1917
-- Validation Loss: 1.4099
-- Epoch: 2
+- Train Loss: 1.5115
+- Validation Loss: 1.4061
+- Epoch: 0
 
 ## Model description
 
-This model is a fine-tuned version of the Helsinki-NLP/opus-mt-de-en with the dataset wmt16 with the pair of languages de-en. 
+More information needed
 
 ## Intended uses & limitations
 
-Limitations: schoolar purposes. 
+More information needed
 
 ## Training and evaluation data
 
-The training was done with tranformers keras with just a few epochs due to lack of more GPU. 
-With more epochs the performance could be better. 
+More information needed
 
 ## Training procedure
 
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 747, '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}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1245, '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 |
 |:----------:|:---------------:|:-----:|
-| 1.5114     | 1.4037          | 0     |
-| 1.2991     | 1.4064          | 1     |
-| 1.1917     | 1.4099          | 2     |
+| 1.5115     | 1.4061          | 0     |
 
 
 ### Framework versions
 
 - Transformers 4.27.4
-- TensorFlow 2.11.0
+- TensorFlow 2.12.0
 - Datasets 2.11.0
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d775affb6767d95893e961125bb5ed44410787beecf1e77185fb3465a5bba343
+oid sha256:4ef1bd87a7592624c8a6896dc31fa5b87ca0c506630d2e480b576d9c1370dcfa
 size 298161796