End of training
Browse files- README.md +12 -9
- all_results.json +4 -4
- eval_results.json +4 -4
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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tags:
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- generated_from_trainer
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datasets:
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- coco_dataset_script
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model-index:
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- name: clip-vit-bert-coco
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results: []
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# clip-vit-bert-coco
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This model was trained from scratch on the coco_dataset_script dataset.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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### Framework versions
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tags:
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- generated_from_trainer
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datasets:
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- ydshieh/coco_dataset_script
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model-index:
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- name: clip-vit-bert-coco
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results: []
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# clip-vit-bert-coco
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This model was trained from scratch on the ydshieh/coco_dataset_script 2017 dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 4.2294
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- eval_runtime: 287.7769
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- eval_samples_per_second: 86.921
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- eval_steps_per_second: 0.681
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- step: 0
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 128
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- eval_batch_size: 128
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5.0
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- mixed_precision_training: Native AMP
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### Framework versions
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all_results.json
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{
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"eval_loss":
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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}
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{
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"eval_loss": 4.22942590713501,
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"eval_runtime": 287.7769,
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"eval_samples_per_second": 86.921,
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"eval_steps_per_second": 0.681
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}
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eval_results.json
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{
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"eval_loss":
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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{
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"eval_loss": 4.22942590713501,
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"eval_runtime": 287.7769,
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"eval_samples_per_second": 86.921,
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"eval_steps_per_second": 0.681
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1654396092
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size 1654396092
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training_args.bin
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