resnet-50-finetuned-FBark / all_results.json
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{
"epoch": 34.34,
"eval_accuracy": 0.9719626168224299,
"eval_f1": 0.9734665458141067,
"eval_loss": 0.10789879411458969,
"eval_precision": 0.9699498746867168,
"eval_recall": 0.9778787878787879,
"eval_runtime": 41.2024,
"eval_samples_per_second": 2.597,
"eval_steps_per_second": 0.34,
"total_flos": 3.0926830773436416e+17,
"train_loss": 0.0,
"train_runtime": 0.0155,
"train_samples_per_second": 955313.811,
"train_steps_per_second": 29290.282
}