Edit model card

bert-base-multilingual-cased-reddit-indonesia-sarcastic

This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4558
  • Accuracy: 0.7829
  • F1: 0.5338
  • Precision: 0.5764
  • Recall: 0.4972

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
Downloads last month
14
Safetensors
Model size
178M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for w11wo/bert-base-multilingual-cased-reddit-indonesia-sarcastic

Finetuned
(514)
this model

Collection including w11wo/bert-base-multilingual-cased-reddit-indonesia-sarcastic