Training in progress epoch 0

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0404
-- Validation Loss: 0.0648
-- Train Accuracy: {'accuracy': 0.9765025970813752}
-- Train F1: {'f1': 0.9766355140186915}
+- Train Loss: 0.6560
+- Validation Loss: 0.6254
+- Train Accuracy: {'accuracy': 0.675}
+- Train F1: {'f1': 0.7410358565737053}
 - Epoch: 0
 
 ## Model description
@@ -38,14 +38,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 7580, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 185, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
 
-| Train Loss | Validation Loss | Train Accuracy                   | Train F1                   | Epoch |
-|:----------:|:---------------:|:--------------------------------:|:--------------------------:|:-----:|
-| 0.0404     | 0.0648          | {'accuracy': 0.9765025970813752} | {'f1': 0.9766355140186915} | 0     |
+| Train Loss | Validation Loss | Train Accuracy      | Train F1                   | Epoch |
+|:----------:|:---------------:|:-------------------:|:--------------------------:|:-----:|
+| 0.6560     | 0.6254          | {'accuracy': 0.675} | {'f1': 0.7410358565737053} | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 267951808
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+size 267955144