metadata
base_model: openai/clip-vit-base-patch32
tags:
- generated_from_trainer
model-index:
- name: Clip-Soil-patch32
results: []
Clip-Soil-patch32
This model is a fine-tuned version of openai/clip-vit-base-patch32 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.9887
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50.0
Training results
Framework versions
- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.21.0
- Tokenizers 0.19.1