LamaDiab's picture
Training checkpoint - Epoch 1, Step 16609
5bdae7b verified
{
"metrics_history": [
{
"epoch": 0.030104160394966585,
"global_step": 500,
"eval_loss": 0.03408537805080414,
"eval_cosine_accuracy": 0.9121845364570618
},
{
"epoch": 0.06020832078993317,
"global_step": 1000,
"eval_loss": 0.03211512416601181,
"eval_cosine_accuracy": 0.9305813312530518
},
{
"epoch": 0.09031248118489975,
"global_step": 1500,
"eval_loss": 0.03070036694407463,
"eval_cosine_accuracy": 0.9341157078742981
},
{
"epoch": 0.12041664157986634,
"global_step": 2000,
"eval_loss": 0.032454561442136765,
"eval_cosine_accuracy": 0.9239204525947571
},
{
"epoch": 0.15052080197483292,
"global_step": 2500,
"eval_loss": 0.0350261889398098,
"eval_cosine_accuracy": 0.9068829417228699
},
{
"epoch": 0.1806249623697995,
"global_step": 3000,
"eval_loss": 0.037413690239191055,
"eval_cosine_accuracy": 0.8916126489639282
},
{
"epoch": 0.2107291227647661,
"global_step": 3500,
"eval_loss": 0.04107580706477165,
"eval_cosine_accuracy": 0.867868959903717
},
{
"epoch": 0.24083328315973268,
"global_step": 4000,
"eval_loss": 0.042248476296663284,
"eval_cosine_accuracy": 0.8625220656394958
},
{
"epoch": 0.2709374435546993,
"global_step": 4500,
"eval_loss": 0.04543215036392212,
"eval_cosine_accuracy": 0.8380987048149109
},
{
"epoch": 0.30104160394966584,
"global_step": 5000,
"eval_loss": 0.04734260216355324,
"eval_cosine_accuracy": 0.8265440464019775
},
{
"epoch": 0.33114576434463244,
"global_step": 5500,
"eval_loss": 0.048521969467401505,
"eval_cosine_accuracy": 0.812904953956604
},
{
"epoch": 0.361249924739599,
"global_step": 6000,
"eval_loss": 0.051017291843891144,
"eval_cosine_accuracy": 0.8010784387588501
},
{
"epoch": 0.3913540851345656,
"global_step": 6500,
"eval_loss": 0.05125237628817558,
"eval_cosine_accuracy": 0.7926956415176392
},
{
"epoch": 0.4214582455295322,
"global_step": 7000,
"eval_loss": 0.053376998752355576,
"eval_cosine_accuracy": 0.7693597078323364
},
{
"epoch": 0.45156240592449876,
"global_step": 7500,
"eval_loss": 0.05461883544921875,
"eval_cosine_accuracy": 0.7683628797531128
},
{
"epoch": 0.48166656631946536,
"global_step": 8000,
"eval_loss": 0.05498296022415161,
"eval_cosine_accuracy": 0.7625628709793091
},
{
"epoch": 0.5117707267144319,
"global_step": 8500,
"eval_loss": 0.055622003972530365,
"eval_cosine_accuracy": 0.7560831904411316
},
{
"epoch": 0.5418748871093986,
"global_step": 9000,
"eval_loss": 0.056548163294792175,
"eval_cosine_accuracy": 0.7378675937652588
},
{
"epoch": 0.5719790475043651,
"global_step": 9500,
"eval_loss": 0.05744454637169838,
"eval_cosine_accuracy": 0.7324753999710083
},
{
"epoch": 0.6020832078993317,
"global_step": 10000,
"eval_loss": 0.058585748076438904,
"eval_cosine_accuracy": 0.7181566953659058
},
{
"epoch": 0.6321873682942982,
"global_step": 10500,
"eval_loss": 0.05707884952425957,
"eval_cosine_accuracy": 0.725497305393219
},
{
"epoch": 0.6622915286892649,
"global_step": 11000,
"eval_loss": 0.0592338964343071,
"eval_cosine_accuracy": 0.7044723629951477
},
{
"epoch": 0.6923956890842314,
"global_step": 11500,
"eval_loss": 0.05877280980348587,
"eval_cosine_accuracy": 0.712537944316864
},
{
"epoch": 0.722499849479198,
"global_step": 12000,
"eval_loss": 0.06046264246106148,
"eval_cosine_accuracy": 0.690652072429657
},
{
"epoch": 0.7526040098741646,
"global_step": 12500,
"eval_loss": 0.0607633963227272,
"eval_cosine_accuracy": 0.6941410899162292
},
{
"epoch": 0.7827081702691312,
"global_step": 13000,
"eval_loss": 0.060512788593769073,
"eval_cosine_accuracy": 0.6935520172119141
},
{
"epoch": 0.8128123306640977,
"global_step": 13500,
"eval_loss": 0.06169861555099487,
"eval_cosine_accuracy": 0.6864833235740662
},
{
"epoch": 0.8429164910590644,
"global_step": 14000,
"eval_loss": 0.06119261682033539,
"eval_cosine_accuracy": 0.6852598786354065
},
{
"epoch": 0.873020651454031,
"global_step": 14500,
"eval_loss": 0.062048524618148804,
"eval_cosine_accuracy": 0.6856223940849304
},
{
"epoch": 0.9031248118489975,
"global_step": 15000,
"eval_loss": 0.06211797520518303,
"eval_cosine_accuracy": 0.6777833104133606
},
{
"epoch": 0.9332289722439641,
"global_step": 15500,
"eval_loss": 0.062346458435058594,
"eval_cosine_accuracy": 0.6719833016395569
},
{
"epoch": 0.9633331326389307,
"global_step": 16000,
"eval_loss": 0.06308408081531525,
"eval_cosine_accuracy": 0.6719833016395569
},
{
"epoch": 0.9934372930338973,
"global_step": 16500,
"eval_loss": 0.06304680556058884,
"eval_cosine_accuracy": 0.6685395836830139
}
],
"current_epoch": 1,
"global_step": 16609
}