Training in progress epoch 0

README.md

@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Rifky/IndoBERT-IndoLEM-QA](https://huggingface.co/Rifky/IndoBERT-IndoLEM-QA) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.8022
-- Validation Loss: 1.0033
-- Epoch: 4
+- Train Loss: 1.5935
+- Validation Loss: 2.0725
+- Epoch: 0
 
 ## Model description
 
@@ -35,23 +35,19 @@ 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': 1805, '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-07, 'decay_steps': 82010, '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 | Epoch |
 |:----------:|:---------------:|:-----:|
-| 1.6303     | 1.0424          | 0     |
-| 1.1982     | 0.9672          | 1     |
-| 0.9983     | 0.9804          | 2     |
-| 0.8854     | 0.9944          | 3     |
-| 0.8022     | 1.0033          | 4     |
+| 1.5935     | 2.0725          | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.27.2
-- TensorFlow 2.11.0
-- Datasets 2.10.1
-- Tokenizers 0.13.2
+- Transformers 4.27.4
+- TensorFlow 2.12.0
+- Datasets 2.11.0
+- Tokenizers 0.13.3

config.json

@@ -8,7 +8,7 @@
   "classifier_dropout": null,
   "eos_token_ids": 0,
   "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.2,
+  "hidden_dropout_prob": 0.3,
   "hidden_size": 768,
   "initializer_range": 0.02,
   "intermediate_size": 3072,
@@ -20,7 +20,7 @@
   "output_past": true,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "transformers_version": "4.27.2",
+  "transformers_version": "4.27.4",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 31923

tf_model.h5

@@ -1,3 +1,3 @@
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+oid sha256:80452bd193f0739bd0831a7a5bc7f97a90ffd783022534607d22b56eb8433d67
 size 440145872