Training in progress epoch 0

README.md

@@ -15,17 +15,17 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6850
-- Train Accuracy: 0.5792
-- Train F1 M: 0.0241
-- Train Precision M: 0.0340
-- Train Recall M: 0.0206
-- Validation Loss: 0.6760
-- Validation Accuracy: 0.5937
-- Validation F1 M: 0.0
-- Validation Precision M: 0.0
-- Validation Recall M: 0.0
-- Epoch: 3
+- Train Loss: 0.4176
+- Train Accuracy: 0.8080
+- Train F1 M: 0.4543
+- Train Precision M: 0.3667
+- Train Recall M: 0.6857
+- Validation Loss: 0.2600
+- Validation Accuracy: 0.8991
+- Validation F1 M: 0.5567
+- Validation Precision M: 0.4108
+- Validation Recall M: 0.9084
+- Epoch: 0
 
 ## Model description
 
@@ -44,17 +44,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 36384, '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}
+- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2274, '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}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Train Accuracy | Train F1 M | Train Precision M | Train Recall M | Validation Loss | Validation Accuracy | Validation F1 M | Validation Precision M | Validation Recall M | Epoch |
 |:----------:|:--------------:|:----------:|:-----------------:|:--------------:|:---------------:|:-------------------:|:---------------:|:----------------------:|:-------------------:|:-----:|
-| 0.6893     | 0.5716         | 0.0775     | 0.0982            | 0.0749         | 0.6911          | 0.5937              | 0.0             | 0.0                    | 0.0                 | 0     |
-| 0.6859     | 0.5751         | 0.0365     | 0.0488            | 0.0328         | 0.6818          | 0.5937              | 0.0             | 0.0                    | 0.0                 | 1     |
-| 0.6827     | 0.5795         | 0.0201     | 0.0302            | 0.0165         | 0.6756          | 0.5937              | 0.0             | 0.0                    | 0.0                 | 2     |
-| 0.6850     | 0.5792         | 0.0241     | 0.0340            | 0.0206         | 0.6760          | 0.5937              | 0.0             | 0.0                    | 0.0                 | 3     |
+| 0.4176     | 0.8080         | 0.4543     | 0.3667            | 0.6857         | 0.2600          | 0.8991              | 0.5567          | 0.4108                 | 0.9084              | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ab9e57e13d12ebff96202bdd3418e19435a4f3388c34e2eb501968d168b1aa8b
+oid sha256:21e7d9ef00411d313f67ee0aaf0424b80c4e371268464fa4afd7a07773eb4319
 size 1341127728