Model save

README.md

@@ -0,0 +1,71 @@
+---
+license: apache-2.0
+base_model: bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: bert-base-multilingual-cased-reddit-indonesia-sarcastic
+  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-base-multilingual-cased-reddit-indonesia-sarcastic
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6012
+- Accuracy: 0.7803
+- F1: 0.5064
+- Precision: 0.5782
+- Recall: 0.4504
+
+## 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: 32
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 100.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.4935        | 1.0   | 309  | 0.4739          | 0.7711   | 0.5186 | 0.5472    | 0.4929 |
+| 0.4203        | 2.0   | 618  | 0.4527          | 0.7895   | 0.5547 | 0.5892    | 0.5241 |
+| 0.3469        | 3.0   | 927  | 0.5105          | 0.7923   | 0.4957 | 0.6316    | 0.4079 |
+| 0.2754        | 4.0   | 1236 | 0.5126          | 0.7746   | 0.5254 | 0.5552    | 0.4986 |
+| 0.2208        | 5.0   | 1545 | 0.6012          | 0.7803   | 0.5064 | 0.5782    | 0.4504 |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:02cb564227adb00213de629d35fc459c7f1686eae296ff25fb2629c743d1225d
+oid sha256:6ca3e63caf3b2d391fb769c2b4593b5bcbe003b41b03074679b93123cfb01547
 size 711443456