Training complete

README.md

@@ -1,6 +1,6 @@
 ---
-license: apache-2.0
-base_model: indolem/indobertweet-base-uncased
+license: mit
+base_model: indolem/indobert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # awkokawokawokoaw
 
-This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3847
-- Accuracy: 0.92
-- Precision: 0.9236
-- Recall: 0.9206
-- F1: 0.9220
+- Loss: 0.5909
+- Accuracy: 0.7917
+- Precision: 0.7547
+- Recall: 0.7583
+- F1: 0.7544
 
 ## Model description
 
@@ -55,10 +55,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 0.5893        | 1.0   | 169  | 0.2996          | 0.895    | 0.8813    | 0.9055 | 0.8908 |
-| 0.1982        | 2.0   | 338  | 0.2367          | 0.9267   | 0.9371    | 0.9225 | 0.9291 |
-| 0.0809        | 3.0   | 507  | 0.3422          | 0.9117   | 0.9208    | 0.9136 | 0.9168 |
-| 0.0223        | 4.0   | 676  | 0.3847          | 0.92     | 0.9236    | 0.9206 | 0.9220 |
+| 1.0793        | 1.0   | 169  | 1.0677          | 0.4333   | 0.1444    | 0.3333 | 0.2016 |
+| 0.9871        | 2.0   | 338  | 0.9369          | 0.625    | 0.4613    | 0.5010 | 0.4515 |
+| 0.7801        | 3.0   | 507  | 0.6453          | 0.76     | 0.7061    | 0.6986 | 0.7008 |
+| 0.5823        | 4.0   | 676  | 0.5909          | 0.7917   | 0.7547    | 0.7583 | 0.7544 |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "indolem/indobertweet-base-uncased",
+  "_name_or_path": "indolem/indobert-base-uncased",
   "architectures": [
     "BertForSequenceClassification"
   ],
@@ -7,7 +7,6 @@
   "bos_token_id": 0,
   "classifier_dropout": null,
   "eos_token_ids": 0,
-  "gradient_checkpointing": false,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:85846b9ee37d7ea8a34f2c7424aecf9de3d1c3c29514ab12b65c60fa125659a6
+oid sha256:71567a3eaed378d56823e9d1cff93a79590f2670b40d116b398eb00974700181
 size 442265596

runs/Jun28_14-30-39_957e063444f0/events.out.tfevents.1719585039.957e063444f0.1387.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:230916e9d8ee7c532c07ab2cbdaab222295466a24c2bc7e14bc1717354df5508
+size 8088

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:49d05dbb31cc5fd9fc95c5a29cc4e31879d634dee8e18b7e2cef6f36a06c2031
+oid sha256:6a73205e0d57b874291b45a89419ceea0ff070000a3e829508fef445acf1f9dc
 size 5112