End of training

README.md

@@ -0,0 +1,68 @@
+---
+library_name: transformers
+license: mit
+base_model: ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: bert-indonesian-finetuned-news-v2
+  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. -->
+
+# bert-indonesian-finetuned-news-v2
+
+This model is a fine-tuned version of [ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa](https://huggingface.co/ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3352
+- F1: 0.8548
+
+## 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: 1e-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
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.2467        | 1.0   | 1000 | 0.3352          | 0.8548 |
+| 0.3142        | 2.0   | 2000 | 0.3523          | 0.8576 |
+| 0.2848        | 3.0   | 3000 | 0.3878          | 0.8584 |
+| 0.2481        | 4.0   | 4000 | 0.4034          | 0.8676 |
+| 0.2225        | 5.0   | 5000 | 0.4437          | 0.8705 |
+| 0.2038        | 6.0   | 6000 | 0.4584          | 0.8706 |
+| 0.1927        | 7.0   | 7000 | 0.4541          | 0.8710 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,37 @@
+{
+  "_name_or_path": "ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Positive",
+    "1": "Neutral",
+    "2": "Negative"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Negative": 2,
+    "Neutral": 1,
+    "Positive": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2c3c25fc538b0693975521fb579576215b38b45d447ecf3d19b86821f7ee59c
+size 442502140

runs/Oct21_10-21-38_5c943250fd09/events.out.tfevents.1729506169.5c943250fd09.469.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac817fad61c7427d5e5657ac1931eb174983f0c173c8ebaaba405f6353fdbe55
+size 9280

runs/Oct21_10-21-38_5c943250fd09/events.out.tfevents.1729507363.5c943250fd09.469.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:85894455b9c3c7a5ec741a53601de8f83c45c91cbf57d2c0be207ee31059efbf
+size 405

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cceff96eeed4f88009c0099651102b4ec290315cd49c6a8c90d45021c10d99ed
+size 5240