BERT-base

stonedsmv/BERT-base

BERT-base is a machine learning model from stonedsmv. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

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

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Hugging Face

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At a glance

License: apache-2.0
Model type: bert
Access: Public
Created: Aug 14, 2024
Updated: Aug 20, 2024
SHA: c4a9b81e

Base models

google-bert/bert-base-cased

Model card

From the Hugging Face model README

BERT-base

This model is a fine-tuned version of google-bert/bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.6524
Accuracy: 0.4265

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	22	1.8763	0.2549
No log	2.0	44	1.8652	0.25
No log	3.0	66	1.7901	0.3088
No log	4.0	88	1.7617	0.3235
No log	5.0	110	1.7064	0.3676
No log	6.0	132	1.6792	0.4167
No log	7.0	154	1.6574	0.4216
No log	8.0	176	1.6524	0.4265

Framework versions

Transformers 4.44.0
Pytorch 2.4.0+cpu
Datasets 2.21.0
Tokenizers 0.19.1

Type: bert
License: apache-2.0
Created: Aug 14, 2024
Updated: Aug 20, 2024