distilbert_new2_0020

This model is a fine-tuned version of [/content/drive/MyDrive/Colab Notebooks/oscar/trybackup_distilbert/new_backup_0105105](https://huggingface.co//content/drive/MyDrive/Colab Notebooks/oscar/trybackup_distilbert/new_backup_0105105) on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.9920
• Validation Loss: 0.9688
• Epoch: 19

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
1.0180	0.9873	0
1.0163	0.9878	1
1.0145	0.9856	2
1.0139	0.9830	3
1.0122	0.9831	4
1.0118	0.9830	5
1.0094	0.9800	6
1.0075	0.9809	7
1.0066	0.9784	8
1.0062	0.9768	9
1.0032	0.9751	10
1.0023	0.9764	11
1.0008	0.9735	12
0.9994	0.9730	13
0.9986	0.9761	14
0.9975	0.9714	15
0.9953	0.9708	16
0.9941	0.9683	17
0.9933	0.9681	18
0.9920	0.9688	19

Framework versions

• Transformers 4.20.1
• TensorFlow 2.8.2
• Datasets 2.3.2
• Tokenizers 0.12.1