Training in progress epoch 0

README.md

@@ -14,10 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2338
-- Validation Loss: 2.2178
-- Train F1: 0.5260
-- Epoch: 8
+- Train Loss: 1.2971
+- Validation Loss: 1.3936
+- Train F1: {'f1': 0.4410685401391092}
+- Train Accuracy: {'accuracy': 0.5758245807997052}
+- Epoch: 0
 
 ## Model description
 
@@ -36,22 +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': 2e-05, 'decay_steps': 27130, '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': 81390, '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 | Validation Loss | Train F1 | Epoch |
-|:----------:|:---------------:|:--------:|:-----:|
-| 1.7072     | 1.4686          | 0.5398   | 0     |
-| 1.2876     | 1.3994          | 0.5547   | 1     |
-| 1.0647     | 1.4549          | 0.5586   | 2     |
-| 0.8523     | 1.5347          | 0.5625   | 3     |
-| 0.6535     | 1.7055          | 0.5433   | 4     |
-| 0.4927     | 1.8572          | 0.5344   | 5     |
-| 0.3790     | 2.0204          | 0.5244   | 6     |
-| 0.2956     | 2.1338          | 0.5263   | 7     |
-| 0.2338     | 2.2178          | 0.5260   | 8     |
+| Train Loss | Validation Loss | Train F1                   | Train Accuracy                   | Epoch |
+|:----------:|:---------------:|:--------------------------:|:--------------------------------:|:-----:|
+| 1.2971     | 1.3936          | {'f1': 0.4410685401391092} | {'accuracy': 0.5758245807997052} | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 268031680