End of training

README.md

@@ -0,0 +1,75 @@
+---
+license: mit
+base_model: indobenchmark/indobert-base-p2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: story_model
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# story_model
+
+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: 0.2576
+- Accuracy: 0.9409
+- F1: 0.9622
+- Precision: 0.9929
+- Recall: 0.9333
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| No log        | 1.0   | 94   | 0.3243          | 0.8817   | 0.9308 | 0.8810    | 0.9867 |
+| No log        | 2.0   | 188  | 0.2781          | 0.8925   | 0.9363 | 0.8963    | 0.98   |
+| No log        | 3.0   | 282  | 0.2576          | 0.9409   | 0.9622 | 0.9929    | 0.9333 |
+| No log        | 4.0   | 376  | 0.3482          | 0.9247   | 0.9545 | 0.9304    | 0.98   |
+| No log        | 5.0   | 470  | 0.3785          | 0.9301   | 0.9574 | 0.9419    | 0.9733 |
+| 0.1516        | 6.0   | 564  | 0.4252          | 0.9140   | 0.9467 | 0.9467    | 0.9467 |
+| 0.1516        | 7.0   | 658  | 0.5097          | 0.9086   | 0.9428 | 0.9524    | 0.9333 |
+| 0.1516        | 8.0   | 752  | 0.5036          | 0.9086   | 0.9431 | 0.9463    | 0.94   |
+| 0.1516        | 9.0   | 846  | 0.5268          | 0.9086   | 0.9439 | 0.9346    | 0.9533 |
+| 0.1516        | 10.0  | 940  | 0.5314          | 0.9086   | 0.9439 | 0.9346    | 0.9533 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b2b4c60083422172d4f3af9e416aab4098d0f5096ad5b9d32e6dad58cc134d4c
+oid sha256:4aa09bdb9c2aa54efe532fdaef0873d9df7cc42b38c0f3e6211fdc6673999600
 size 497795072

runs/Jan13_07-59-51_8ac3861bbf2e/events.out.tfevents.1705132793.8ac3861bbf2e.1011.4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a8db251672524c7523f3f0217b35c1cb166d03035bef5f6f3a240769d4dbcb08
-size 8909
+oid sha256:c7594bd402c87da0286e4c5a3daf72226d5121d45ef045a4614153a71ae12e7b
+size 9735

runs/Jan13_07-59-51_8ac3861bbf2e/events.out.tfevents.1705133185.8ac3861bbf2e.1011.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6e695908a3f843c91dea330753c789b7d51f672860af478bdac769648b899e43
+size 560