databoks-irfan/socmed-comment-roberta-base-indonesian-smsa

README.md

@@ -1,4 +1,6 @@
 ---
+license: mit
+base_model: w11wo/indonesian-roberta-base-sentiment-classifier
 tags:
 - generated_from_trainer
 metrics:
@@ -16,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # socmed-comment-roberta-base-indonesian-smsa
 
-This model was trained from scratch on an unknown dataset.
+This model is a fine-tuned version of [w11wo/indonesian-roberta-base-sentiment-classifier](https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2767
-- Accuracy: 0.9663
-- F1: 0.9663
-- Precision: 0.9663
-- Recall: 0.9663
+- Loss: 0.3133
+- Accuracy: 0.8930
+- F1: 0.8928
+- Precision: 0.8927
+- Recall: 0.8930
 
 ## Model description
 
@@ -47,7 +49,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 2
 
 ### Training results
 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "databoks-irfan/socmed-comment-roberta-base-indonesian-smsa",
+  "_name_or_path": "w11wo/indonesian-roberta-base-sentiment-classifier",
   "architectures": [
     "RobertaForSequenceClassification"
   ],
@@ -12,16 +12,16 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "POSITIVE",
-    "1": "NEUTRAL",
-    "2": "NEGATIVE"
+    "0": "positive",
+    "1": "neutral",
+    "2": "negative"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "NEGATIVE": 2,
-    "NEUTRAL": 1,
-    "POSITIVE": 0
+    "negative": 2,
+    "neutral": 1,
+    "positive": 0
   },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,
@@ -32,9 +32,8 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "total_flos": 1.1223329811709559e+19,
   "transformers_version": "4.36.2",
   "type_vocab_size": 1,
   "use_cache": true,
-  "vocab_size": 52000
+  "vocab_size": 50265
 }

model.safetensors

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+oid sha256:ef4d77d189343a52a36b21d07a20dc67b0835936879fa6c3875a168827998b70
+size 498615900

runs/Dec27_08-18-12_ecd918afa8c4/events.out.tfevents.1703665093.ecd918afa8c4.2206.0

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runs/Dec27_08-18-12_ecd918afa8c4/events.out.tfevents.1703666625.ecd918afa8c4.2206.1

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training_args.bin

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