bert_base_24

gokuls/bert_base_24

bert_base_24 is a fill-mask model from gokuls. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Fill-Mask
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jun 10, 2023
Updated: Jun 11, 2023
SHA: c624c7d5

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Model card

From the Hugging Face model README

bert_base_24

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 6.0090
Accuracy: 0.1512

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: 1e-05
train_batch_size: 48
eval_batch_size: 48
seed: 10
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10000
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
6.4917	0.08	10000	6.4422	0.1406
6.2848	0.16	20000	6.2644	0.1478
6.1988	0.25	30000	6.1852	0.1493
6.148	0.33	40000	6.1287	0.1501
6.1007	0.41	50000	6.0888	0.1501
6.0721	0.49	60000	6.0555	0.1499
6.0414	0.57	70000	6.0274	0.1514
6.0229	0.66	80000	6.0090	0.1512

Framework versions

Transformers 4.30.1
Pytorch 1.14.0a0+410ce96
Datasets 2.12.0
Tokenizers 0.13.3

Task: Fill-Mask
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 10, 2023
Updated: Jun 11, 2023