Training fold 2

README.md

@@ -0,0 +1,75 @@
+---
+license: mit
+base_model: ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: best_roberta_model_fold_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. -->
+
+# best_roberta_model_fold_2
+
+This model is a fine-tuned version of [ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa](https://huggingface.co/ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3694
+- Accuracy: 0.8785
+- Precision: 0.8509
+- Recall: 0.8453
+- F1: 0.8475
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 252  | 0.3694          | 0.8785   | 0.8509    | 0.8453 | 0.8475 |
+| 0.4624        | 2.0   | 504  | 0.6764          | 0.8506   | 0.8218    | 0.8193 | 0.8150 |
+| 0.4624        | 3.0   | 756  | 0.7159          | 0.8745   | 0.8644    | 0.8280 | 0.8431 |
+| 0.1511        | 4.0   | 1008 | 0.6390          | 0.8785   | 0.8689    | 0.8156 | 0.8345 |
+| 0.1511        | 5.0   | 1260 | 0.7848          | 0.8785   | 0.8594    | 0.8438 | 0.8506 |
+| 0.0503        | 6.0   | 1512 | 0.8157          | 0.8785   | 0.8544    | 0.8493 | 0.8512 |
+| 0.0503        | 7.0   | 1764 | 0.9260          | 0.8785   | 0.8600    | 0.8427 | 0.8488 |
+| 0.0103        | 8.0   | 2016 | 0.8872          | 0.8765   | 0.8526    | 0.8325 | 0.8415 |
+| 0.0103        | 9.0   | 2268 | 1.0181          | 0.8745   | 0.8552    | 0.8330 | 0.8422 |
+| 0.0006        | 10.0  | 2520 | 1.0201          | 0.8745   | 0.8542    | 0.8330 | 0.8418 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,39 @@
+{
+  "_name_or_path": "ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "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-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11147d3846a5ccda78ce102c84d20900bc7f4fa3b568077e1a11ce4977719930
+size 498615900

runs/Jul10_10-47-23_315e80750a24/events.out.tfevents.1720608443.315e80750a24.34.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0972ccd096e035f23cd83e28eacc6cfda6f61899dedb8cb78adf653f768a15eb
+size 11316

runs/Jul10_10-47-23_315e80750a24/events.out.tfevents.1720609721.315e80750a24.34.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f2348069b099fcf0f79c9fbe380a98d90363d120a314c9dafd5953b371457df
+size 560

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f0f417baa672e59774aadf6c7ee0f447dbf8620d71a78b4ddc0435f52a8b5818
+size 5176