indo-eng-translator

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.3402
• Train Accuracy: 0.5474
• Validation Loss: 0.6332
• Validation Accuracy: 0.5349
• Epoch: 7

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:

• optimizer: {'name': 'AdamW', 'weight_decay': 0.004, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
1.6897	0.3978	1.0369	0.4718	0
0.9890	0.4690	0.8124	0.4979	1
0.7446	0.4945	0.7387	0.5090	2
0.6032	0.5113	0.6742	0.5180	3
0.5038	0.5250	0.6594	0.5233	4
0.4323	0.5340	0.6309	0.5291	5
0.3827	0.5397	0.6352	0.5324	6
0.3402	0.5474	0.6332	0.5349	7

Framework versions

• Transformers 4.46.3
• TensorFlow 2.17.1
• Datasets 3.2.0
• Tokenizers 0.20.3