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bigmorning/
distilbert_new2_0020

Name: distilbert_new2_0020
Availability: InStock

transformers

distilbert

fill-mask

generated_from_keras_callback

autotrain_compatible

endpoints_compatible

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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

bigmorning/distilbert_new2_0020

distilbert_new2_0020

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bigmorning/
distilbert_new2_0020