Training in progress epoch 0

README.md

@@ -14,13 +14,13 @@ 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: 0.0109
-- Validation Loss: 0.0246
-- Train Precision: 0.9362
-- Train Recall: 0.9416
-- Train F1: 0.9389
-- Train Accuracy: 0.9937
-- Epoch: 2
+- Train Loss: 0.1277
+- Validation Loss: 0.0691
+- Train Precision: 0.9077
+- Train Recall: 0.9281
+- Train F1: 0.9178
+- Train Accuracy: 0.9808
+- Epoch: 0
 
 ## Model description
 
@@ -39,16 +39,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 15648, '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, 'weight_decay_rate': 0.01}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 10530, '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, 'weight_decay_rate': 0.01}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
-| 0.0631     | 0.0387          | 0.8765          | 0.9074       | 0.8917   | 0.9881         | 0     |
-| 0.0241     | 0.0288          | 0.9328          | 0.9274       | 0.9301   | 0.9918         | 1     |
-| 0.0109     | 0.0246          | 0.9362          | 0.9416       | 0.9389   | 0.9937         | 2     |
+| 0.1277     | 0.0691          | 0.9077          | 0.9281       | 0.9178   | 0.9808         | 0     |
 
 
 ### Framework versions

config.json

@@ -16,7 +16,9 @@
     "3": "LABEL_3",
     "4": "LABEL_4",
     "5": "LABEL_5",
-    "6": "LABEL_6"
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
@@ -27,7 +29,9 @@
     "LABEL_3": 3,
     "LABEL_4": 4,
     "LABEL_5": 5,
-    "LABEL_6": 6
+    "LABEL_6": 6,
+    "LABEL_7": 7,
+    "LABEL_8": 8
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,

logs/train/events.out.tfevents.1658393740.c2f2cab6445b.70.0.v2

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logs/validation/events.out.tfevents.1658394246.c2f2cab6445b.70.1.v2

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tf_model.h5

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