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:
- eval_loss: 1.2712
- eval_runtime: 54.386
- eval_samples_per_second: 5.516
- eval_steps_per_second: 0.092
- epoch: 0.6702
- step: 63
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: 1.5291245778570296e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for BilelDJ/clip-hugging-face-finetuned
Base model
openai/clip-vit-base-patch32