distilbert_complete

bigmorning/distilbert_complete

distilbert_complete is a fill-mask model from bigmorning. Use it when you need the model to fill a missing word. It is set up for transformers.

probably proofread and complete it, then remove this comment. --

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At a glance

Task: Fill-Mask
Library: transformers
Model type: distilbert
Access: Public
Created: Jul 23, 2022
Updated: Jul 23, 2022
SHA: 568cf63c

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Model card

From the Hugging Face model README

distilbert_complete

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.9232
Validation Loss: 0.9128
Epoch: 12

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
0.9319	0.9178	0
0.9310	0.9167	1
0.9301	0.9170	2
0.9300	0.9161	3
0.9295	0.9157	4
0.9294	0.9153	5
0.9274	0.9122	6
0.9267	0.9139	7
0.9261	0.9139	8
0.9257	0.9120	9
0.9247	0.9145	10
0.9236	0.9131	11
0.9232	0.9128	12

Framework versions

Transformers 4.20.1
TensorFlow 2.8.2
Datasets 2.3.2
Tokenizers 0.12.1

Task: Fill-Mask
Library: transformers
Type: distilbert
Created: Jul 23, 2022
Updated: Jul 23, 2022