syp1229/xlm-roberta-base-finetuned-koidiom-epoch5

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

• Train Loss: 2.0826
• Validation Loss: 1.9873
• Epoch: 4

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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
2.7703	2.0462	0
2.2504	2.0178	1
2.1653	1.9992	2
2.1310	1.9829	3
2.0826	1.9873	4

Framework versions

• Transformers 4.19.2
• TensorFlow 2.8.0
• Datasets 2.2.1
• Tokenizers 0.12.1