Training in progress epoch 0

README.md

@@ -15,12 +15,12 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.4728
-- Train End Logits Accuracy: 0.6358
-- Train Start Logits Accuracy: 0.6745
-- Validation Loss: 0.5634
-- Validation End Logits Accuracy: 0.8067
-- Validation Start Logits Accuracy: 0.8802
+- Train Loss: 1.4894
+- Train End Logits Accuracy: 0.6342
+- Train Start Logits Accuracy: 0.6715
+- Validation Loss: 0.5434
+- Validation End Logits Accuracy: 0.8209
+- Validation Start Logits Accuracy: 0.8737
 - Epoch: 0
 
 ## Model description
@@ -40,19 +40,19 @@ 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': 453, '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': 906, '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 | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
-| 1.4728     | 0.6358                    | 0.6745                      | 0.5634          | 0.8067                         | 0.8802                           | 0     |
+| 1.4894     | 0.6342                    | 0.6715                      | 0.5434          | 0.8209                         | 0.8737                           | 0     |
 
 
 ### Framework versions
 
 - Transformers 4.31.0
 - TensorFlow 2.12.0
-- Datasets 2.13.1
+- Datasets 2.14.4
 - Tokenizers 0.13.3

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