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PyTorch
bert
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Inference Endpoints
indobert-nusa / all_results.json
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{
"epoch": 3.0,
"eval_accuracy": 0.680344407644915,
"eval_loss": 1.6595289707183838,
"eval_runtime": 118.3166,
"eval_samples": 18002,
"eval_samples_per_second": 152.151,
"eval_steps_per_second": 19.025,
"perplexity": 5.256834138384373,
"train_loss": 2.060935147813305,
"train_runtime": 51665.6711,
"train_samples": 765530,
"train_samples_per_second": 44.451,
"train_steps_per_second": 5.556
}