hBERTv1_new_pretrain_w_init_48_ver2_rte

gokuls/hBERTv1_new_pretrain_w_init_48_ver2_rte

hBERTv1_new_pretrain_w_init_48_ver2_rte is a text classification model from gokuls. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: hybridbert
Access: Public
Created: Oct 18, 2023
Updated: Oct 18, 2023
SHA: 6f756972

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Base models

gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48

Datasets

glue

Model card

From the Hugging Face model README

hBERTv1_new_pretrain_w_init_48_ver2_rte

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48 on the GLUE RTE dataset. It achieves the following results on the evaluation set:

Loss: 0.6919
Accuracy: 0.5271

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:

learning_rate: 4e-05
train_batch_size: 64
eval_batch_size: 64
seed: 10
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7175	1.0	39	0.6919	0.5271
0.7099	2.0	78	0.7006	0.4729
0.7111	3.0	117	0.6927	0.5271
0.7011	4.0	156	0.6976	0.4729
0.7021	5.0	195	0.6955	0.4729
0.6986	6.0	234	0.7078	0.4729

Framework versions

Transformers 4.34.0
Pytorch 1.14.0a0+410ce96
Datasets 2.14.5
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: hybridbert
Languages: en
Created: Oct 18, 2023
Updated: Oct 18, 2023