badmatr11x's picture
Upload 12 files
23e7044
{
"best_metric": 0.14910581707954407,
"best_model_checkpoint": "speech-multiclassifier-run-2/checkpoint-3192",
"epoch": 5.0,
"global_step": 15960,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.16,
"learning_rate": 1.9373433583959903e-05,
"loss": 0.2984,
"step": 500
},
{
"epoch": 0.31,
"learning_rate": 1.87468671679198e-05,
"loss": 0.2101,
"step": 1000
},
{
"epoch": 0.47,
"learning_rate": 1.81203007518797e-05,
"loss": 0.2104,
"step": 1500
},
{
"epoch": 0.63,
"learning_rate": 1.74937343358396e-05,
"loss": 0.1926,
"step": 2000
},
{
"epoch": 0.78,
"learning_rate": 1.68671679197995e-05,
"loss": 0.1981,
"step": 2500
},
{
"epoch": 0.94,
"learning_rate": 1.62406015037594e-05,
"loss": 0.1808,
"step": 3000
},
{
"epoch": 1.0,
"eval_loss": 0.14910581707954407,
"eval_overall-accuracy": 0.9499647639182522,
"eval_overall-f1": 0.9499647639182522,
"eval_overall-precision": 0.9499647639182522,
"eval_overall-recall": 0.9499647639182522,
"eval_runtime": 79.4483,
"eval_samples_per_second": 35.721,
"eval_steps_per_second": 2.24,
"step": 3192
},
{
"epoch": 1.1,
"learning_rate": 1.56140350877193e-05,
"loss": 0.1611,
"step": 3500
},
{
"epoch": 1.25,
"learning_rate": 1.49874686716792e-05,
"loss": 0.1598,
"step": 4000
},
{
"epoch": 1.41,
"learning_rate": 1.43609022556391e-05,
"loss": 0.1544,
"step": 4500
},
{
"epoch": 1.57,
"learning_rate": 1.3734335839598997e-05,
"loss": 0.1536,
"step": 5000
},
{
"epoch": 1.72,
"learning_rate": 1.3107769423558898e-05,
"loss": 0.1518,
"step": 5500
},
{
"epoch": 1.88,
"learning_rate": 1.2481203007518798e-05,
"loss": 0.1567,
"step": 6000
},
{
"epoch": 2.0,
"eval_loss": 0.1555911898612976,
"eval_overall-accuracy": 0.9513742071881607,
"eval_overall-f1": 0.9513742071881607,
"eval_overall-precision": 0.9513742071881607,
"eval_overall-recall": 0.9513742071881607,
"eval_runtime": 78.9404,
"eval_samples_per_second": 35.951,
"eval_steps_per_second": 2.255,
"step": 6384
},
{
"epoch": 2.04,
"learning_rate": 1.18546365914787e-05,
"loss": 0.1468,
"step": 6500
},
{
"epoch": 2.19,
"learning_rate": 1.1228070175438597e-05,
"loss": 0.1265,
"step": 7000
},
{
"epoch": 2.35,
"learning_rate": 1.0601503759398497e-05,
"loss": 0.1211,
"step": 7500
},
{
"epoch": 2.51,
"learning_rate": 9.974937343358396e-06,
"loss": 0.1232,
"step": 8000
},
{
"epoch": 2.66,
"learning_rate": 9.348370927318296e-06,
"loss": 0.1215,
"step": 8500
},
{
"epoch": 2.82,
"learning_rate": 8.721804511278195e-06,
"loss": 0.114,
"step": 9000
},
{
"epoch": 2.98,
"learning_rate": 8.095238095238097e-06,
"loss": 0.1328,
"step": 9500
},
{
"epoch": 3.0,
"eval_loss": 0.17720717191696167,
"eval_overall-accuracy": 0.952431289640592,
"eval_overall-f1": 0.952431289640592,
"eval_overall-precision": 0.952431289640592,
"eval_overall-recall": 0.952431289640592,
"eval_runtime": 78.7543,
"eval_samples_per_second": 36.036,
"eval_steps_per_second": 2.26,
"step": 9576
},
{
"epoch": 3.13,
"learning_rate": 7.468671679197995e-06,
"loss": 0.1011,
"step": 10000
},
{
"epoch": 3.29,
"learning_rate": 6.842105263157896e-06,
"loss": 0.0942,
"step": 10500
},
{
"epoch": 3.45,
"learning_rate": 6.215538847117794e-06,
"loss": 0.0994,
"step": 11000
},
{
"epoch": 3.6,
"learning_rate": 5.588972431077695e-06,
"loss": 0.1042,
"step": 11500
},
{
"epoch": 3.76,
"learning_rate": 4.962406015037594e-06,
"loss": 0.0993,
"step": 12000
},
{
"epoch": 3.92,
"learning_rate": 4.335839598997494e-06,
"loss": 0.0954,
"step": 12500
},
{
"epoch": 4.0,
"eval_loss": 0.1867782473564148,
"eval_overall-accuracy": 0.95630725863284,
"eval_overall-f1": 0.95630725863284,
"eval_overall-precision": 0.95630725863284,
"eval_overall-recall": 0.95630725863284,
"eval_runtime": 79.4309,
"eval_samples_per_second": 35.729,
"eval_steps_per_second": 2.241,
"step": 12768
},
{
"epoch": 4.07,
"learning_rate": 3.7092731829573934e-06,
"loss": 0.0798,
"step": 13000
},
{
"epoch": 4.23,
"learning_rate": 3.0827067669172934e-06,
"loss": 0.0773,
"step": 13500
},
{
"epoch": 4.39,
"learning_rate": 2.456140350877193e-06,
"loss": 0.0827,
"step": 14000
},
{
"epoch": 4.54,
"learning_rate": 1.8295739348370927e-06,
"loss": 0.0857,
"step": 14500
},
{
"epoch": 4.7,
"learning_rate": 1.2030075187969925e-06,
"loss": 0.0758,
"step": 15000
},
{
"epoch": 4.86,
"learning_rate": 5.764411027568922e-07,
"loss": 0.0756,
"step": 15500
},
{
"epoch": 5.0,
"eval_loss": 0.20741401612758636,
"eval_overall-accuracy": 0.9570119802677942,
"eval_overall-f1": 0.9570119802677942,
"eval_overall-precision": 0.9570119802677942,
"eval_overall-recall": 0.9570119802677942,
"eval_runtime": 80.2735,
"eval_samples_per_second": 35.354,
"eval_steps_per_second": 2.217,
"step": 15960
}
],
"max_steps": 15960,
"num_train_epochs": 5,
"total_flos": 4401666409805172.0,
"trial_name": null,
"trial_params": null
}