add models

.gitattributes

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+*.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,91 @@
----
-license: apache-2.0
----
+---
+library_name: transformers
+base_model: cahya/NusaBert-v1.3
+tags:
+- generated_from_trainer
+datasets:
+- grit-id/id_nergrit_corpus
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: nusabert_nergrit_1.3
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: grit-id/id_nergrit_corpus ner
+      type: grit-id/id_nergrit_corpus
+      config: ner
+      split: validation
+      args: ner
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.8010483135824977
+    - name: Recall
+      type: recall
+      value: 0.8338275412169375
+    - name: F1
+      type: f1
+      value: 0.8171093159760562
+    - name: Accuracy
+      type: accuracy
+      value: 0.9476653696498054
+---
+
+<!-- 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_nergrit_1.3
+
+This model is a fine-tuned version of [cahya/NusaBert-v1.3](https://huggingface.co/cahya/NusaBert-v1.3) on the grit-id/id_nergrit_corpus ner dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2174
+- Precision: 0.8010
+- Recall: 0.8338
+- F1: 0.8171
+- Accuracy: 0.9477
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 64
+- total_eval_batch_size: 64
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.5.1+cu124
+- Datasets 2.19.2
+- Tokenizers 0.21.0

all_results.json

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config.json

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eval_results.json

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special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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train_results.json

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trainer_state.json

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training_args.bin

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