metadata
base_model: openai/clip-vit-base-patch32
tags:
- generated_from_trainer
model-index:
- name: clip-hugging-face-finetuned
results: []
clip-hugging-face-finetuned
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: 0.0000
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: 0.0
- train_batch_size: 3
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0002 | 0.25 | 1 | 0.0000 |
| 0.0011 | 0.5 | 2 | 0.0000 |
| 0.0 | 0.75 | 3 | 0.0000 |
| 0.0 | 1.0 | 4 | 0.0000 |
| 0.0 | 1.25 | 5 | 0.0000 |
| 0.1114 | 1.5 | 6 | 0.0000 |
| 0.0027 | 1.75 | 7 | 0.0000 |
| 0.0 | 2.0 | 8 | 0.0000 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1