clip-roberta-finetuned – AI Model by sharkMeow | AlphaNeural AI

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sharkMeow/
clip-roberta-finetuned

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vision-text-dual-encoder

feature-extraction

generated_from_trainer

ckiplab/bert-base-chinese

endpoints_compatible

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clip-roberta-finetuned

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: 0.3715

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: 100.0

Training results

Training Loss	Epoch	Step	Validation Loss
3.3102	10.0	390	2.7681
1.6079	20.0	780	1.5404
0.7749	30.0	1170	0.9966
0.4468	40.0	1560	0.7465
0.2965	50.0	1950	0.5970
0.2199	60.0	2340	0.5014
0.1751	70.0	2730	0.4469
0.1487	80.0	3120	0.4024
0.1317	90.0	3510	0.3746
0.1234	100.0	3900	0.3715

Framework versions

Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1