End of training

README.md

@@ -0,0 +1,99 @@
+---
+license: mit
+base_model: LazarusNLP/NusaBERT-base
+tags:
+- generated_from_trainer
+datasets:
+- indonlu
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: NusaBERT-base-NERP
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: indonlu
+      type: indonlu
+      config: nerp
+      split: validation
+      args: nerp
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.8060507833603457
+    - name: Recall
+      type: recall
+      value: 0.8405633802816901
+    - name: F1
+      type: f1
+      value: 0.8229453943739657
+    - name: Accuracy
+      type: accuracy
+      value: 0.9634085213032582
+---
+
+<!-- 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. -->
+
+# NusaBERT-base-NERP
+
+This model is a fine-tuned version of [LazarusNLP/NusaBERT-base](https://huggingface.co/LazarusNLP/NusaBERT-base) on the indonlu dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1254
+- Precision: 0.8061
+- Recall: 0.8406
+- F1: 0.8229
+- Accuracy: 0.9634
+
+## 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: 64
+- 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 | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 420  | 0.1444          | 0.7415    | 0.8272 | 0.7820 | 0.9543   |
+| 0.2385        | 2.0   | 840  | 0.1276          | 0.7879    | 0.8187 | 0.8030 | 0.9586   |
+| 0.1143        | 3.0   | 1260 | 0.1260          | 0.7815    | 0.8510 | 0.8148 | 0.9597   |
+| 0.0903        | 4.0   | 1680 | 0.1305          | 0.7836    | 0.8516 | 0.8162 | 0.9596   |
+| 0.07          | 5.0   | 2100 | 0.1342          | 0.8158    | 0.8255 | 0.8206 | 0.9605   |
+| 0.0582        | 6.0   | 2520 | 0.1343          | 0.8172    | 0.8408 | 0.8288 | 0.9606   |
+| 0.0582        | 7.0   | 2940 | 0.1440          | 0.7936    | 0.8476 | 0.8197 | 0.9594   |
+| 0.0521        | 8.0   | 3360 | 0.1447          | 0.8069    | 0.8453 | 0.8257 | 0.9605   |
+| 0.0446        | 9.0   | 3780 | 0.1512          | 0.7996    | 0.8453 | 0.8218 | 0.9599   |
+| 0.0417        | 10.0  | 4200 | 0.1524          | 0.8078    | 0.8453 | 0.8261 | 0.9606   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu118
+- Datasets 2.17.1
+- Tokenizers 0.15.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dcb390280307c0ab20b181bd07491c6b01d66739fa5460f0bf5a6cedc65d334e
+oid sha256:b1aef1a8d3d8ccd6b30bebc339829b1cdda4e6737820699569f7d435f65abc02
 size 440262500

runs/Feb23_03-34-49_bookbot-h100/events.out.tfevents.1708659290.bookbot-h100.450365.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c079f485a688eaf24dee2bacd24d3cdbd6a45dc7762115aee12ad849137d113b
-size 10391
+oid sha256:a2c1cdf52f981a95db1b60fa531c8d6446729801c8ef0446832663c1432eef1f
+size 11374

runs/Feb23_03-34-49_bookbot-h100/events.out.tfevents.1708659461.bookbot-h100.450365.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a601e269ab21f882431408af56d4e67e4d5f3390da2c0be0b136b4b449aaaf36
+size 560