| --- |
| tags: |
| - generated_from_trainer |
| datasets: |
| - ydshieh/coco_dataset_script |
| model-index: |
| - name: clip-vit-bert-coco |
| 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. --> |
|
|
| # clip-vit-bert-coco |
|
|
| This model was trained from scratch on the ydshieh/coco_dataset_script 2017 dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 4.1888 |
| - eval_runtime: 5.7658 |
| - eval_samples_per_second: 22.2 |
| - eval_steps_per_second: 0.173 |
| - step: 0 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 128 |
| - eval_batch_size: 128 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5.0 |
| - mixed_precision_training: Native AMP |
|
|
| ### Framework versions |
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|
| - Transformers 4.39.0.dev0 |
| - Pytorch 2.2.1 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
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|
