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: 0.4507
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- eval_accuracy: 0.8863
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- eval_runtime: 156.5229
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- eval_samples_per_second: 96.791
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- eval_steps_per_second: 6.05
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- epoch: 49.63
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- step: 47000
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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": 97.139,
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"eval_steps_per_second": 6.072,
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"step": 46000
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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": 49.63041182682154,
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"eval_steps": 1000,
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"global_step": 47000,
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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": 97.139,
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"eval_steps_per_second": 6.072,
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"step": 46000
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{
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"epoch": 49.63,
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"learning_rate": 2.21752903907075e-05,
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"loss": 0.2231,
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"epoch": 49.63,
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"eval_accuracy": 0.8863366336633663,
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"eval_loss": 0.45071929693222046,
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"eval_runtime": 156.5229,
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"eval_samples_per_second": 96.791,
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"eval_steps_per_second": 6.05,
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"step": 47000
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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": 2.3327232826889155e+20,
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"train_batch_size": 16,
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