End of training

README.md

@@ -0,0 +1,66 @@
+---
+license: apache-2.0
+base_model: indolem/indobertweet-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: nasiuduk2024_indobtwt_7_reprsample_2
+  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. -->
+
+# nasiuduk2024_indobtwt_7_reprsample_2
+
+This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8928
+- F1 macro: 0.4060
+- Weighted: 0.6825
+- Balanced accuracy: 0.4640
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
+| 1.2738        | 1.0   | 206  | 0.9566          | 0.3914   | 0.6845   | 0.4444            |
+| 1.1101        | 2.0   | 412  | 0.9996          | 0.4091   | 0.6819   | 0.4812            |
+| 0.3331        | 3.0   | 618  | 1.3851          | 0.4014   | 0.6480   | 0.4958            |
+| 0.2889        | 4.0   | 824  | 1.5148          | 0.4136   | 0.6882   | 0.4686            |
+| 0.0132        | 5.0   | 1030 | 1.8454          | 0.3969   | 0.6668   | 0.4753            |
+| 0.0822        | 6.0   | 1236 | 2.0285          | 0.4064   | 0.6664   | 0.4908            |
+| 0.003         | 7.0   | 1442 | 1.8928          | 0.4060   | 0.6825   | 0.4640            |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,40 @@
+{
+  "_name_or_path": "indolem/indobertweet-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_ids": 0,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Sumber Daya Alam",
+    "1": "Politik",
+    "2": "Demografi",
+    "3": "Pertahanan dan Keamanan",
+    "4": "Ideologi",
+    "5": "Ekonomi",
+    "6": "Sosial Budaya",
+    "7": "Geografi"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31923
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aaa4f89c53ae556438a413ce3e2c3aa5eb5593e2602264a19549a5dc6c414aa8
+size 442280976

runs/Jun19_19-33-33_80516ee61c48/events.out.tfevents.1718825618.80516ee61c48.721.12

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fcd7350d151c5a31a1e422d453ecba00fb2665e5e742c5a7e358141f442526dd
+size 38955

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ad6f643a19c984fa8c1b70d1ab6e877b5b3fc541b487f9afb496ea9f3856bbe
+size 5176