clip-DIT-finetuned_one_text_to_train

sharkMeow/clip-DIT-finetuned_one_text_to_train

clip-DIT-finetuned_one_text_to_train is a machine learning model from sharkMeow. 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 gpl-3.0.

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

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Hugging Face

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At a glance

License: gpl-3.0
Model type: vision-text-dual-encoder
Access: Public
Created: Aug 4, 2024
Updated: Aug 4, 2024
SHA: 08be8c8d

Base models

ckiplab/bert-base-chinese

Model card

From the Hugging Face model README

clip-DIT-finetuned_one_text_to_train

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

Loss: 1.3237

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: 64
eval_batch_size: 100
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 200.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.479	20.0	780	2.5238
0.5415	40.0	1560	1.9513
0.1937	60.0	2340	1.6752
0.1072	80.0	3120	1.5576
0.0722	100.0	3900	1.4878
0.0542	120.0	4680	1.4187
0.0433	140.0	5460	1.3938
0.0376	160.0	6240	1.3544
0.0333	180.0	7020	1.3325
0.0311	200.0	7800	1.3237

Framework versions

Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: vision-text-dual-encoder
License: gpl-3.0
Created: Aug 4, 2024
Updated: Aug 4, 2024