MiniLM-v2_v53-SemanticEngine / training_metrics.json
LamaDiab's picture
Final training metrics
9fea98b verified
{
"metrics_history": [
{
"epoch": 0.3682224063334254,
"global_step": 2000,
"eval_loss": 1.7286653518676758,
"eval_cosine_accuracy": 0.9451025724411011
},
{
"epoch": 0.7364448126668508,
"global_step": 4000,
"eval_loss": 1.6283537149429321,
"eval_cosine_accuracy": 0.9483816623687744
},
{
"epoch": 1.1044982062367767,
"global_step": 6000,
"eval_loss": 1.5601781606674194,
"eval_cosine_accuracy": 0.9550454616546631
},
{
"epoch": 1.4724496366479625,
"global_step": 8000,
"eval_loss": 1.4905059337615967,
"eval_cosine_accuracy": 0.9601227045059204
},
{
"epoch": 1.8404010670591482,
"global_step": 10000,
"eval_loss": 1.4158258438110352,
"eval_cosine_accuracy": 0.9631901979446411
},
{
"epoch": 2.2082605096127312,
"global_step": 12000,
"eval_loss": 1.3638396263122559,
"eval_cosine_accuracy": 0.9681616425514221
},
{
"epoch": 2.5762119400239167,
"global_step": 14000,
"eval_loss": 1.3354265689849854,
"eval_cosine_accuracy": 0.9716522097587585
},
{
"epoch": 2.9441633704351027,
"global_step": 16000,
"eval_loss": 1.3126671314239502,
"eval_cosine_accuracy": 0.9724984169006348
},
{
"epoch": 3.3120228129886855,
"global_step": 18000,
"eval_loss": 1.300689458847046,
"eval_cosine_accuracy": 0.9719695448875427
},
{
"epoch": 3.6799742433998714,
"global_step": 20000,
"eval_loss": 1.2883245944976807,
"eval_cosine_accuracy": 0.9722868800163269
},
{
"epoch": 4.047833685953454,
"global_step": 22000,
"eval_loss": 1.2892431020736694,
"eval_cosine_accuracy": 0.9732388257980347
},
{
"epoch": 4.41578511636464,
"global_step": 24000,
"eval_loss": 1.2891350984573364,
"eval_cosine_accuracy": 0.9731330871582031
},
{
"epoch": 4.783736546775826,
"global_step": 26000,
"eval_loss": 1.2836241722106934,
"eval_cosine_accuracy": 0.9739792943000793
}
],
"total_epochs": 4.997148376414313,
"total_steps": 27160
}