metadata

license: mit
base_model: indolem/indobert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
  - f1
model-index:
  - name: sentiment-pt-pl30-2
    results: []

sentiment-pt-pl30-2

This model is a fine-tuned version of indolem/indobert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2988
Accuracy: 0.8822
Precision: 0.8574
Recall: 0.8592
F1: 0.8583

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: 30
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.541	1.0	122	0.4985	0.7293	0.6648	0.6310	0.6397
0.4477	2.0	244	0.4465	0.7644	0.7427	0.7883	0.7462
0.347	3.0	366	0.3237	0.8647	0.8556	0.8067	0.8255
0.3005	4.0	488	0.2992	0.8922	0.8734	0.8637	0.8683
0.281	5.0	610	0.2869	0.8647	0.8398	0.8292	0.8342
0.2419	6.0	732	0.2945	0.8747	0.8443	0.8663	0.8537
0.2394	7.0	854	0.2835	0.8772	0.8504	0.8556	0.8530
0.2192	8.0	976	0.2803	0.8772	0.8535	0.8481	0.8507
0.2144	9.0	1098	0.2861	0.8747	0.8499	0.8463	0.8481
0.2056	10.0	1220	0.2724	0.8922	0.8706	0.8687	0.8697
0.1822	11.0	1342	0.2813	0.8872	0.8606	0.8727	0.8662
0.1817	12.0	1464	0.2900	0.8872	0.8760	0.8452	0.8584
0.1621	13.0	1586	0.2926	0.8947	0.8773	0.8655	0.8711
0.1577	14.0	1708	0.2904	0.8922	0.8683	0.8737	0.8710
0.1612	15.0	1830	0.2996	0.8847	0.8648	0.8534	0.8588
0.1496	16.0	1952	0.2970	0.8872	0.8624	0.8677	0.8650
0.149	17.0	2074	0.2948	0.8822	0.8574	0.8592	0.8583
0.1424	18.0	2196	0.2977	0.8847	0.8609	0.8609	0.8609
0.1383	19.0	2318	0.2990	0.8847	0.8621	0.8584	0.8602
0.1407	20.0	2440	0.2988	0.8822	0.8574	0.8592	0.8583

Framework versions

Transformers 4.39.3
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.15.2