Training in progress epoch 0

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.4792
-- Train Accuracy: 0.7803
-- Validation Loss: 0.3889
-- Validation Accuracy: 0.8380
+- Train Loss: 0.4675
+- Train Accuracy: 0.7816
+- Validation Loss: 0.3782
+- Validation Accuracy: 0.8436
 - Epoch: 0
 
 ## Model description
@@ -37,14 +37,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 201, '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-07, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 603, '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-07, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.4792     | 0.7803         | 0.3889          | 0.8380              | 0     |
+| 0.4675     | 0.7816         | 0.3782          | 0.8436              | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1676047305.ac38487b6343.1977.2.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f74c22138a954c2181e036154eefb60eb2bb9a7bb47da5562e0878a9a883a218
+size 3138742

logs/validation/events.out.tfevents.1676047475.ac38487b6343.1977.3.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c662b4d6aedd7b99e33a6c8d9f76b6de8b553ca56a20aff1b5c07df0ee973e82
+size 356

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:de24001032d6750ed3de888f37383baa0b81125c6cbff13379ffdea98ba0e4d3
+oid sha256:0552305c2b5d6b2ffbbdc839ebad30efc63bdac358790313a59b0eef969f8543
 size 442783616