Training in progress epoch 0

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [asafaya/bert-base-arabic](https://huggingface.co/asafaya/bert-base-arabic) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1031
-- Validation Loss: 0.1133
-- Train Accuracy: 0.9691
-- Train F1: 0.9560
-- Train Precision: 0.9584
-- Train Recall: 0.9535
-- Epoch: 2
+- Train Loss: 0.4023
+- Validation Loss: 0.1317
+- Train Accuracy: 0.9636
+- Train F1: 0.9482
+- Train Precision: 0.9512
+- Train Recall: 0.9453
+- Epoch: 0
 
 ## Model description
 
@@ -40,21 +40,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 909, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 909, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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 Accuracy | Train F1 | Train Precision | Train Recall | Epoch |
 |:----------:|:---------------:|:--------------:|:--------:|:---------------:|:------------:|:-----:|
-| 0.4636     | 0.1392          | 0.9619         | 0.9455   | 0.9489          | 0.9421       | 0     |
-| 0.1257     | 0.1173          | 0.9677         | 0.9540   | 0.9562          | 0.9518       | 1     |
-| 0.1031     | 0.1133          | 0.9691         | 0.9560   | 0.9584          | 0.9535       | 2     |
+| 0.4023     | 0.1317          | 0.9636         | 0.9482   | 0.9512          | 0.9453       | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.51.3
+- Transformers 4.51.1
 - TensorFlow 2.18.0
-- Datasets 3.6.0
-- Tokenizers 0.21.1
+- Datasets 3.5.0
+- Tokenizers 0.21.0

config.json

@@ -56,7 +56,7 @@
   "output_past": true,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "transformers_version": "4.51.3",
+  "transformers_version": "4.51.1",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 32000

tf_model.h5

@@ -1,3 +1,3 @@
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-size 440432652
+oid sha256:020b408da5a348d92463c44f72771db09b85444a3fda49634215471b4ecf94bb
+size 440444940