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 [ayameRushia/indobert-base-uncased-finetuned-indonlu-smsa](https://huggingface.co/ayameRushia/indobert-base-uncased-finetuned-indonlu-smsa) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0488
-- Validation Loss: 0.4869
-- Train Accuracy: 0.8471
-- Epoch: 5
+- Train Loss: 0.5261
+- Validation Loss: 0.2992
+- Train Accuracy: 0.9059
+- Epoch: 0
 
 ## Model description
 
@@ -37,19 +37,14 @@ 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 850, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 420, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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 | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.5821     | 0.4255          | 0.8412         | 0     |
-| 0.2788     | 0.4873          | 0.8176         | 1     |
-| 0.1551     | 0.3100          | 0.8882         | 2     |
-| 0.0834     | 0.4280          | 0.8882         | 3     |
-| 0.0491     | 0.4760          | 0.9            | 4     |
-| 0.0488     | 0.4869          | 0.8471         | 5     |
+| 0.5261     | 0.2992          | 0.9059         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f0543acb3b65c3b92ecabe8e5651ed4fc9033229b5ca66ae24d1d7bb5a837f2c
+oid sha256:80b8513fed4cfe65bcb4e2ce9ddf0678909d688aea46c1852f94a9c66369ed3c
 size 442530076

tokenizer.json

@@ -2,7 +2,7 @@
   "version": "1.0",
   "truncation": {
     "direction": "Right",
-    "max_length": 512,
+    "max_length": 128,
     "strategy": "LongestFirst",
     "stride": 0
   },

tokenizer_config.json

@@ -46,7 +46,7 @@
   "do_basic_tokenize": true,
   "do_lower_case": true,
   "mask_token": "[MASK]",
-  "model_max_length": 512,
+  "model_max_length": 128,
   "never_split": null,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",