README.md
| 1 | --- |
| 2 | tags: |
| 3 | - generated_from_keras_callback |
| 4 | widget: |
| 5 | - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png |
| 6 | candidate_labels: playing music, playing sports |
| 7 | example_title: Cat & Dog |
| 8 | model-index: |
| 9 | - name: clip-vit-large-patch14-336 |
| 10 | results: [] |
| 11 | --- |
| 12 | |
| 13 | <!-- This model card has been generated automatically according to the information Keras had access to. You should |
| 14 | probably proofread and complete it, then remove this comment. --> |
| 15 | |
| 16 | # clip-vit-large-patch14-336 |
| 17 | |
| 18 | This model was trained from scratch on an unknown dataset. |
| 19 | It achieves the following results on the evaluation set: |
| 20 | |
| 21 | |
| 22 | ## Model description |
| 23 | |
| 24 | More information needed |
| 25 | |
| 26 | ## Intended uses & limitations |
| 27 | |
| 28 | More information needed |
| 29 | |
| 30 | ## Training and evaluation data |
| 31 | |
| 32 | More information needed |
| 33 | |
| 34 | ## Training procedure |
| 35 | |
| 36 | ### Training hyperparameters |
| 37 | |
| 38 | The following hyperparameters were used during training: |
| 39 | - optimizer: None |
| 40 | - training_precision: float32 |
| 41 | |
| 42 | ### Training results |
| 43 | |
| 44 | |
| 45 | |
| 46 | ### Framework versions |
| 47 | |
| 48 | - Transformers 4.21.3 |
| 49 | - TensorFlow 2.8.2 |
| 50 | - Tokenizers 0.12.1 |
| 51 | |