xtremedistil-l6-h384-uncased-future-time-references

jonaskoenig/xtremedistil-l6-h384-uncased-future-time-references

xtremedistil-l6-h384-uncased-future-time-references is a text classification model from jonaskoenig. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Jul 4, 2022
Updated: Jul 10, 2022
SHA: abe5e667

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Model card

From the Hugging Face model README

xtremedistil-l6-h384-uncased-future-time-references

This model is a fine-tuned version of microsoft/xtremedistil-l6-h256-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.0279
Train Binary Crossentropy: 0.4809
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': 'Adam', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Train Binary Crossentropy	Epoch
0.0487	0.6401	0
0.0348	0.5925	1
0.0319	0.5393	2
0.0306	0.5168	3
0.0298	0.5045	4
0.0292	0.4970	5
0.0288	0.4916	6
0.0284	0.4878	7
0.0282	0.4836	8
0.0279	0.4809	9

Framework versions

Transformers 4.20.1
TensorFlow 2.9.1
Datasets 2.3.2
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Jul 4, 2022
Updated: Jul 10, 2022