End of training
Browse files
README.md
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This model was trained from scratch on the food101 dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.
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- eval_accuracy: 0.
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- eval_runtime: 155.
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- eval_samples_per_second: 97.
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- eval_steps_per_second: 6.
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- epoch:
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- step:
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## Model description
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This model was trained from scratch on the food101 dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.3814
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- eval_accuracy: 0.9055
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- eval_runtime: 155.1819
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- eval_samples_per_second: 97.627
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- eval_steps_per_second: 6.103
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- epoch: 40.13
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- step: 38000
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## Model description
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model.safetensors
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runs/Feb06_02-52-53_2bd6d982b8e8/events.out.tfevents.1707187974.2bd6d982b8e8.26.0
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trainer_state.json
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{
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"best_metric": 0.9115511551155115,
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"best_model_checkpoint": "food-image-classification/checkpoint-35000",
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"epoch":
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"global_step":
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"is_world_process_zero": true,
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"eval_samples_per_second": 97.204,
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"eval_steps_per_second": 6.076,
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"step": 37000
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}
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],
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"logging_steps": 1000,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 500,
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{
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"best_metric": 0.9115511551155115,
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"best_model_checkpoint": "food-image-classification/checkpoint-35000",
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"epoch": 40.12671594508976,
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"eval_steps": 1000,
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"global_step": 38000,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"eval_samples_per_second": 97.204,
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"eval_steps_per_second": 6.076,
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"step": 37000
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{
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"epoch": 40.13,
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"learning_rate": 1.2671594508975712e-05,
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"loss": 0.2644,
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"step": 38000
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{
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"epoch": 40.13,
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"eval_accuracy": 0.9054785478547854,
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"eval_loss": 0.3814030885696411,
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"eval_runtime": 155.1819,
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"eval_samples_per_second": 97.627,
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"eval_steps_per_second": 6.103,
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"step": 38000
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"logging_steps": 1000,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 500,
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"total_flos": 1.8860292139298003e+20,
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"train_batch_size": 16,
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