roomLuxuryAnnotater / README.md
strollingorange's picture
upload checkpoints
eeef70f verified
|
raw
history blame
1.16 kB
---
license: mit
base_model: laion/CLIP-ViT-B-32-laion2B-s34B-b79K
tags:
- generated_from_trainer
model-index:
- name: laion-finetuned_v5e7_epoch10_fold0_threshold3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# laion-finetuned_v5e7_epoch10_fold0_threshold3
This model is a fine-tuned version of [laion/CLIP-ViT-B-32-laion2B-s34B-b79K](https://huggingface.co/laion/CLIP-ViT-B-32-laion2B-s34B-b79K) on an unknown dataset.
## 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-06
- train_batch_size: 384
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
### Training results
### Framework versions
- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.15.0