lowe0/my_mlm_finetune_test_model_v1

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

• Train Loss: 1.8554
• Validation Loss: 1.8346
• Epoch: 9

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
2.1846	1.9536	0
2.0790	1.9172	1
2.0360	1.9141	2
1.9943	1.8802	3
1.9702	1.8764	4
1.9495	1.8578	5
1.9215	1.8511	6
1.9029	1.8212	7
1.8829	1.8398	8
1.8554	1.8346	9

Framework versions

• Transformers 4.51.3
• TensorFlow 2.18.0
• Datasets 3.6.0
• Tokenizers 0.21.1