diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..6ae23a634a496b6d233b2c5522857ae752e330e9 --- /dev/null +++ b/README.md @@ -0,0 +1,79 @@ +--- +library_name: transformers +license: mit +base_model: indobenchmark/indobert-large-p2 +tags: +- generated_from_trainer +metrics: +- accuracy +model-index: +- name: results + results: [] +--- + + + +# results + +This model is a fine-tuned version of [indobenchmark/indobert-large-p2](https://huggingface.co/indobenchmark/indobert-large-p2) on the None dataset. +It achieves the following results on the evaluation set: +- Accuracy: 0.8 +- F1 Weighted: 0.7852 +- Loss: 0.7316 + +## 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: 2.7820079535067715e-05 +- train_batch_size: 64 +- eval_batch_size: 64 +- seed: 42 +- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments +- lr_scheduler_type: linear +- num_epochs: 17 +- mixed_precision_training: Native AMP + +### Training results + +| Training Loss | Epoch | Step | Accuracy | F1 Weighted | Validation Loss | +|:-------------:|:-----:|:----:|:--------:|:-----------:|:---------------:| +| No log | 1.0 | 6 | 0.24 | 0.1029 | 1.2189 | +| 1.2118 | 2.0 | 12 | 0.32 | 0.2521 | 1.1035 | +| 1.2118 | 3.0 | 18 | 0.64 | 0.5214 | 1.0049 | +| 1.0516 | 4.0 | 24 | 0.68 | 0.6394 | 0.8500 | +| 1.0014 | 5.0 | 30 | 0.64 | 0.628 | 0.8799 | +| 1.0014 | 6.0 | 36 | 0.68 | 0.6835 | 0.7949 | +| 1.1235 | 7.0 | 42 | 0.72 | 0.6931 | 0.8320 | +| 1.1235 | 8.0 | 48 | 0.64 | 0.6368 | 0.7677 | +| 1.0837 | 9.0 | 54 | 0.8 | 0.7852 | 0.7316 | +| 0.9824 | 10.0 | 60 | 0.76 | 0.7324 | 0.7318 | +| 0.9824 | 11.0 | 66 | 0.72 | 0.6966 | 0.7191 | +| 0.8334 | 12.0 | 72 | 0.76 | 0.7346 | 0.7128 | +| 0.8334 | 13.0 | 78 | 0.68 | 0.6430 | 0.7165 | +| 0.7175 | 14.0 | 84 | 0.68 | 0.6430 | 0.7259 | +| 0.6813 | 15.0 | 90 | 0.68 | 0.6430 | 0.7139 | +| 0.6813 | 16.0 | 96 | 0.72 | 0.6981 | 0.6977 | +| 0.6765 | 17.0 | 102 | 0.72 | 0.6981 | 0.6941 | + + +### Framework versions + +- Transformers 4.56.2 +- Pytorch 2.8.0+cu126 +- Datasets 4.0.0 +- Tokenizers 0.22.1 diff --git a/config.json b/config.json new file mode 100644 index 0000000000000000000000000000000000000000..bdcb1435fca5ac8b9ef1de797243b16aa823135a --- /dev/null +++ b/config.json @@ -0,0 +1,43 @@ +{ + "_num_labels": 5, + "architectures": [ + "BertForSequenceClassification" + ], + "attention_probs_dropout_prob": 0.3, + "classifier_dropout": null, + "directionality": "bidi", + "dtype": "float32", + "hidden_act": "gelu", + "hidden_dropout_prob": 0.3, + "hidden_size": 1024, + "id2label": { + "0": "LABEL_0", + "1": "LABEL_1", + "2": "LABEL_2" + }, + 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