Shresthadev403
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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:
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- eval_samples_per_second:
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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: 0.3641
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- eval_accuracy: 0.9074
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- eval_runtime: 156.8691
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- eval_samples_per_second: 96.577
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- eval_steps_per_second: 6.037
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- epoch: 35.9
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- step: 34000
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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": 0.9113531353135313,
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"best_model_checkpoint": "food-image-classification/checkpoint-28000",
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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": 97.318,
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"eval_steps_per_second": 6.083,
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"step": 33000
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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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"save_steps": 1000,
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"total_flos": 1.
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"train_batch_size": 16,
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{
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"best_metric": 0.9113531353135313,
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"best_model_checkpoint": "food-image-classification/checkpoint-28000",
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"epoch": 35.90285110876452,
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"global_step": 34000,
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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": 97.318,
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"eval_steps_per_second": 6.083,
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"step": 33000
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"epoch": 35.9,
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"learning_rate": 8.447729672650476e-06,
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{
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"epoch": 35.9,
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"eval_accuracy": 0.9073927392739274,
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"eval_loss": 0.36413270235061646,
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"eval_runtime": 156.8691,
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"eval_samples_per_second": 96.577,
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"eval_steps_per_second": 6.037,
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"step": 34000
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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": 1.6875047215634232e+20,
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"train_batch_size": 16,
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"trial_name": null,
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"trial_params": null
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