Training in progress epoch 0

README.md

@@ -1,5 +1,5 @@
 ---
-license: apache-2.0
+license: mit
 tags:
 - generated_from_keras_callback
 model-index:
@@ -12,11 +12,11 @@ probably proofread and complete it, then remove this comment. -->
 
 # Sultannn/bert-base-ft-pos-xtreme
 
-This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset.
+This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2022
-- Validation Loss: 0.3324
-- Epoch: 3
+- Train Loss: 0.9615
+- Validation Loss: 0.3139
+- Epoch: 0
 
 ## Model description
 
@@ -35,17 +35,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 4e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 4e-05, 'decay_steps': 1008, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 500, 'power': 1.0, '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': 'WarmUp', 'config': {'initial_learning_rate': 3e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1008, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 500, 'power': 1.0, '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: mixed_float16
 
 ### Training results
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 1.0555     | 0.3597          | 0     |
-| 0.3793     | 0.3286          | 1     |
-| 0.2696     | 0.3156          | 2     |
-| 0.2022     | 0.3324          | 3     |
+| 0.9615     | 0.3139          | 0     |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,6 @@
 {
-  "_name_or_path": "bert-base-multilingual-uncased",
+  "_name_or_path": "indobenchmark/indobert-base-p1",
+  "_num_labels": 5,
   "architectures": [
     "BertForTokenClassification"
   ],
@@ -54,6 +55,7 @@
   "model_type": "bert",
   "num_attention_heads": 12,
   "num_hidden_layers": 12,
+  "output_past": true,
   "pad_token_id": 0,
   "pooler_fc_size": 768,
   "pooler_num_attention_heads": 12,
@@ -64,5 +66,5 @@
   "transformers_version": "4.18.0",
   "type_vocab_size": 2,
   "use_cache": true,
-  "vocab_size": 105879
+  "vocab_size": 50000
 }

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d2e5e6082f6b9205e04802601ea90e5beda2a2f4554f4c4d02d16ccff65bc8b4
-size 667389004
+oid sha256:cf7d57a5f198cfdab2f30d4a0efec03f3096c12fc3d87e24a9fe8054eaf81ff3
+size 495728716

tokenizer_config.json

@@ -1 +1 @@
-{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-multilingual-uncased", "tokenizer_class": "BertTokenizer"}
+{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": "/root/.cache/huggingface/transformers/b515a756d9ddf12a7a391ea596c488ac805f0576790934e590ce250a3e4ff056.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "indobenchmark/indobert-base-p1", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}