End of training

README.md

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+---
+license: mit
+base_model: cahya/distilbert-base-indonesian
+tags:
+- generated_from_trainer
+model-index:
+- name: results
+  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. -->
+
+# results
+
+This model is a fine-tuned version of [cahya/distilbert-base-indonesian](https://huggingface.co/cahya/distilbert-base-indonesian) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0001
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.0108        | 1.0   | 40   | 0.8965          |
+| 0.0808        | 2.0   | 80   | 0.0290          |
+| 0.0026        | 3.0   | 120  | 0.0017          |
+| 0.0014        | 4.0   | 160  | 0.0009          |
+| 0.0009        | 5.0   | 200  | 0.0007          |
+| 0.0007        | 6.0   | 240  | 0.0005          |
+| 0.0005        | 7.0   | 280  | 0.0004          |
+| 0.0004        | 8.0   | 320  | 0.0003          |
+| 0.0003        | 9.0   | 360  | 0.0003          |
+| 0.0003        | 10.0  | 400  | 0.0002          |
+| 0.0002        | 11.0  | 440  | 0.0002          |
+| 0.0002        | 12.0  | 480  | 0.0002          |
+| 0.0002        | 13.0  | 520  | 0.0002          |
+| 0.0001        | 14.0  | 560  | 0.0002          |
+| 0.0001        | 15.0  | 600  | 0.0002          |
+| 0.0001        | 16.0  | 640  | 0.0002          |
+| 0.0001        | 17.0  | 680  | 0.0001          |
+| 0.0001        | 18.0  | 720  | 0.0001          |
+| 0.0001        | 19.0  | 760  | 0.0001          |
+| 0.0001        | 20.0  | 800  | 0.0001          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "cahya/distilbert-base-indonesian",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForMaskedLM"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "output_hidden_states": true,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": true,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "vocab_size": 32000
+}

model.safetensors

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+size 272501104

training_args.bin

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