BERT2BERT_try_epoch15

houdini001/BERT2BERT_try_epoch15

BERT2BERT_try_epoch15 is a machine learning model from houdini001. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

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

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At a glance

Library: transformers
Model type: encoder-decoder
Access: Public
Created: Feb 17, 2024
Updated: Feb 17, 2024
SHA: 98ffe183

Model card

From the Hugging Face model README

BERT2BERT_try_epoch15

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

Loss: 0.0176

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.0145	1.57	1000	0.0147
0.0058	3.14	2000	0.0157
0.002	4.72	3000	0.0167
0.0012	6.29	4000	0.0154
0.0005	7.86	5000	0.0155
0.0004	9.43	6000	0.0159
0.0005	11.01	7000	0.0167
0.0004	12.58	8000	0.0172
0.0003	14.15	9000	0.0176

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2

Library: transformers
Type: encoder-decoder
Created: Feb 17, 2024
Updated: Feb 17, 2024