camembertav2-base / summaries /training_summary.txt
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{
"total_training_steps": 17000,
"train_loss": 8.419132232666016,
"last_train_metrics_train_perf": 138.31654357910156,
"last_train_metrics_learning_rate": 1.2292020983295515e-05,
"last_train_metrics_loss_scale": 1.0,
"last_train_metrics_total_loss": 8.419132232666016,
"last_train_metrics_masked_lm_accuracy": 0.6719754934310913,
"last_train_metrics_masked_lm_loss": 1.6620410680770874,
"last_train_metrics_sampled_masked_lm_accuracy": 0.586631178855896,
"last_train_metrics_disc_loss": 0.13950321078300476,
"last_train_metrics_disc_accuracy": 0.9519138932228088,
"last_train_metrics_disc_precision": 0.8029802441596985,
"last_train_metrics_disc_recall": 0.479175865650177,
"eval_metrics_train_perf": 0.0,
"eval_metrics_learning_rate": 0.0,
"eval_metrics_loss_scale": 0.0,
"eval_metrics_total_loss": 0.0,
"eval_metrics_masked_lm_accuracy": 0.0,
"eval_metrics_masked_lm_loss": 0.0,
"eval_metrics_sampled_masked_lm_accuracy": 0.0,
"eval_metrics_disc_loss": 0.0,
"eval_metrics_disc_accuracy": 0.0,
"eval_metrics_disc_precision": 0.0,
"eval_metrics_disc_recall": 0.0
}