BERT2BERT_try_ep11

houdini001/BERT2BERT_try_ep11

BERT2BERT_try_ep11 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 16, 2024
Updated: Feb 16, 2024
SHA: fd047df8

Base models

houdini001/BERT2BERT_try

Model card

From the Hugging Face model README

BERT2BERT_try_ep11

This model is a fine-tuned version of houdini001/BERT2BERT_try on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0240

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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.012	1.57	1000	0.0237
0.0024	3.14	2000	0.0238
0.0009	4.72	3000	0.0234
0.0004	6.29	4000	0.0240
0.0003	7.86	5000	0.0237
0.0003	9.43	6000	0.0240

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 16, 2024
Updated: Feb 16, 2024