dnd_en

mishkashishka/dnd_en

dnd_en is a machine learning model from mishkashishka. 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 15, 2024
Updated: Aug 15, 2024
SHA: 3d27f099

Base models

google-bert/bert-base-uncased

Model card

From the Hugging Face model README

dnd_en

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

Loss: 0.3371
Accuracy: 0.8947

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-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	15	0.4992	0.8421
No log	2.0	30	0.4656	0.8772
No log	3.0	45	0.4444	0.8596
No log	4.0	60	0.4205	0.8596
No log	5.0	75	0.4017	0.8596
No log	6.0	90	0.3841	0.8772
No log	7.0	105	0.3707	0.8772
No log	8.0	120	0.3595	0.8947
No log	9.0	135	0.3489	0.8947
No log	10.0	150	0.3425	0.8947
No log	11.0	165	0.3385	0.8947
No log	12.0	180	0.3371	0.8947

Framework versions

Transformers 4.32.1
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.13.2

Type: bert
License: apache-2.0
Created: Aug 15, 2024
Updated: Aug 15, 2024