MiniLM-v51-SemanticEngine / training_metrics.json
LamaDiab's picture
Final training metrics
ff9791a verified
{
"metrics_history": [
{
"epoch": 0.22251891410769917,
"global_step": 2000,
"eval_loss": 1.1309852600097656,
"eval_cosine_accuracy": 0.9481027126312256
},
{
"epoch": 0.44503782821539833,
"global_step": 4000,
"eval_loss": 1.11049485206604,
"eval_cosine_accuracy": 0.949688196182251
},
{
"epoch": 0.6675567423230975,
"global_step": 6000,
"eval_loss": 1.1041761636734009,
"eval_cosine_accuracy": 0.9524363279342651
},
{
"epoch": 0.8900756564307967,
"global_step": 8000,
"eval_loss": 1.0991708040237427,
"eval_cosine_accuracy": 0.9552901387214661
},
{
"epoch": 1.1124944419742107,
"global_step": 10000,
"eval_loss": 1.084265947341919,
"eval_cosine_accuracy": 0.9583553671836853
},
{
"epoch": 1.3348154735437974,
"global_step": 12000,
"eval_loss": 1.0563029050827026,
"eval_cosine_accuracy": 0.9597294330596924
},
{
"epoch": 1.5571365051133839,
"global_step": 14000,
"eval_loss": 1.0454884767532349,
"eval_cosine_accuracy": 0.9624775648117065
},
{
"epoch": 1.7794575366829704,
"global_step": 16000,
"eval_loss": 1.0180429220199585,
"eval_cosine_accuracy": 0.9643800854682922
},
{
"epoch": 2.001778568252557,
"global_step": 18000,
"eval_loss": 1.0156272649765015,
"eval_cosine_accuracy": 0.9650142788887024
},
{
"epoch": 2.2240995998221433,
"global_step": 20000,
"eval_loss": 1.0275158882141113,
"eval_cosine_accuracy": 0.9641686677932739
},
{
"epoch": 2.44642063139173,
"global_step": 22000,
"eval_loss": 1.0210366249084473,
"eval_cosine_accuracy": 0.9646971821784973
},
{
"epoch": 2.668741662961316,
"global_step": 24000,
"eval_loss": 1.0162781476974487,
"eval_cosine_accuracy": 0.9654370546340942
},
{
"epoch": 2.891062694530903,
"global_step": 26000,
"eval_loss": 1.019175410270691,
"eval_cosine_accuracy": 0.9663883447647095
}
],
"total_epochs": 2.998221431747443,
"total_steps": 26964
}