End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3647
+- Loss: 0.8616
 - Accuracy: 0.8529
-- F1: 0.9153
-- Precision: 0.8710
-- Recall: 0.9643
+- F1: 0.7289
+- Precision: 0.7483
+- Recall: 0.7143
 
 ## Model description
 
@@ -49,22 +49,13 @@ 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: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| No log        | 1.0   | 17   | 0.3647          | 0.8529   | 0.9153 | 0.8710    | 0.9643 |
-| No log        | 2.0   | 34   | 0.4506          | 0.8529   | 0.9091 | 0.9259    | 0.8929 |
-| No log        | 3.0   | 51   | 0.5964          | 0.8529   | 0.9153 | 0.8710    | 0.9643 |
-| No log        | 4.0   | 68   | 0.6727          | 0.8235   | 0.8929 | 0.8929    | 0.8929 |
-| No log        | 5.0   | 85   | 0.6488          | 0.8235   | 0.8966 | 0.8667    | 0.9286 |
-| No log        | 6.0   | 102  | 0.6798          | 0.8529   | 0.9123 | 0.8966    | 0.9286 |
-| No log        | 7.0   | 119  | 0.7034          | 0.8529   | 0.9123 | 0.8966    | 0.9286 |
-| No log        | 8.0   | 136  | 0.6960          | 0.8529   | 0.9123 | 0.8966    | 0.9286 |
-| No log        | 9.0   | 153  | 0.7040          | 0.8529   | 0.9123 | 0.8966    | 0.9286 |
-| No log        | 10.0  | 170  | 0.7053          | 0.8529   | 0.9123 | 0.8966    | 0.9286 |
+| No log        | 2.94  | 50   | 1.3675          | 0.8529   | 0.6019 | 0.9242    | 0.5833 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ad8cbd773e0f705aa4963acfa23c5f2dfa471fb413a5add82048d80061a9dd83
+oid sha256:f50e422cedaa08bb4ccaa2217a37f3a2e90498ebb003165adc62eeab2eb738ea
 size 497795072

runs/Jan14_10-26-30_fcd99226172a/events.out.tfevents.1705227991.fcd99226172a.370.18

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d735f426c18bc44702f3d98e116f34c88074308905d31184f7a27ccb8b3d89a4
+size 5330

runs/Jan14_10-26-30_fcd99226172a/events.out.tfevents.1705228017.fcd99226172a.370.19

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8d082a5ed155331e0208e76dcb1387932509f80750310bf1a2ef21d8412aea27
+size 551

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8b019ce51587e14b86f32259d12e5034bef5afeacf6773b01754dac30583d4b3
-size 4600
+oid sha256:75d4c0c5a0d917b6a042cee61f72e057cf4c5dcbe8a1d581fee9fd6b48afe455
+size 4536