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: 0.3803
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- eval_accuracy: 0.9053
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- eval_runtime: 154.4972
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- eval_samples_per_second: 98.06
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- eval_steps_per_second: 6.13
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- epoch: 41.18
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- step: 39000
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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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"eval_steps": 1000,
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"global_step":
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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": 97.627,
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"eval_steps_per_second": 6.103,
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"step": 38000
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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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"trial_name": null,
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"trial_params": null
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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": 41.18268215417107,
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"eval_steps": 1000,
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"global_step": 39000,
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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": 97.627,
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"eval_steps_per_second": 6.103,
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"step": 38000
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{
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"epoch": 41.18,
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"learning_rate": 1.3727560718057022e-05,
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"loss": 0.2585,
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"step": 39000
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},
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{
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"epoch": 41.18,
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"eval_accuracy": 0.9052805280528052,
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"eval_loss": 0.3803286850452423,
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"eval_runtime": 154.4972,
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"eval_samples_per_second": 98.06,
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"eval_steps_per_second": 6.13,
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"step": 39000
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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": 1.9356618882363687e+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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