Prahith/my_awesome_eli5_mlm_model

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

• Train Loss: 0.8639
• Validation Loss: 0.7876
• 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
1.7024	1.3578	0
1.3743	1.2240	1
1.2305	1.1160	2
1.1437	1.0130	3
1.0858	0.9542	4
0.9998	0.9088	5
0.9549	0.8946	6
0.9404	0.8457	7
0.9150	0.8061	8
0.8639	0.7876	9

Framework versions

• Transformers 4.35.2
• TensorFlow 2.14.0
• Datasets 2.15.0
• Tokenizers 0.15.0