metadata

license: mit
base_model: indolem/indobert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
  - f1
model-index:
  - name: sentiment-seq_bn-1
    results: []

sentiment-seq_bn-1

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: 0.3078
Accuracy: 0.8797
Precision: 0.8572
Recall: 0.8499
F1: 0.8534

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
0.5593	1.0	122	0.5129	0.7318	0.6697	0.6453	0.6532
0.481	2.0	244	0.4831	0.7343	0.6993	0.7295	0.7054
0.4234	3.0	366	0.3974	0.8221	0.7926	0.7616	0.7740
0.3701	4.0	488	0.3780	0.8396	0.8128	0.7890	0.7992
0.3499	5.0	610	0.3612	0.8471	0.8135	0.8268	0.8195
0.3165	6.0	732	0.3760	0.8271	0.7953	0.8377	0.8072
0.2968	7.0	854	0.3342	0.8697	0.8438	0.8403	0.8420
0.2812	8.0	976	0.3311	0.8672	0.8463	0.8260	0.8351
0.2682	9.0	1098	0.3269	0.8722	0.8463	0.8446	0.8454
0.2596	10.0	1220	0.3145	0.8797	0.8560	0.8524	0.8541
0.2464	11.0	1342	0.3138	0.8697	0.8503	0.8278	0.8377
0.2415	12.0	1464	0.3126	0.8847	0.8697	0.8459	0.8565
0.2354	13.0	1586	0.3136	0.8822	0.8694	0.8392	0.8521
0.2303	14.0	1708	0.3172	0.8747	0.8463	0.8563	0.8510
0.2172	15.0	1830	0.3120	0.8822	0.8656	0.8442	0.8537
0.2159	16.0	1952	0.3116	0.8622	0.8319	0.8400	0.8357
0.2192	17.0	2074	0.3123	0.8847	0.8717	0.8434	0.8557
0.2124	18.0	2196	0.3150	0.8647	0.8340	0.8467	0.8399
0.2077	19.0	2318	0.3084	0.8797	0.8585	0.8474	0.8526
0.205	20.0	2440	0.3078	0.8797	0.8572	0.8499	0.8534

Framework versions

Transformers 4.39.3
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.15.2