batteryscibert-uncased-abstract / trainer_state.json
batterydata's picture
best model for abstract classification
15ea105
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 14.0,
"global_step": 14294,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.49,
"learning_rate": 1.9347045380346067e-05,
"loss": 0.1497,
"step": 500
},
{
"epoch": 0.98,
"learning_rate": 1.8694090760692135e-05,
"loss": 0.1296,
"step": 1000
},
{
"epoch": 1.0,
"eval_accuracy": 0.963784396648407,
"eval_loss": 0.11704692244529724,
"eval_runtime": 3.6236,
"eval_samples_per_second": 2575.648,
"eval_steps_per_second": 80.584,
"step": 1021
},
{
"epoch": 1.47,
"learning_rate": 1.80411361410382e-05,
"loss": 0.0939,
"step": 1500
},
{
"epoch": 1.96,
"learning_rate": 1.7388181521384265e-05,
"loss": 0.1,
"step": 2000
},
{
"epoch": 2.0,
"eval_accuracy": 0.9682846069335938,
"eval_loss": 0.11075109988451004,
"eval_runtime": 3.7908,
"eval_samples_per_second": 2462.002,
"eval_steps_per_second": 77.028,
"step": 2042
},
{
"epoch": 2.45,
"learning_rate": 1.673522690173033e-05,
"loss": 0.0682,
"step": 2500
},
{
"epoch": 2.94,
"learning_rate": 1.6082272282076395e-05,
"loss": 0.0661,
"step": 3000
},
{
"epoch": 3.0,
"eval_accuracy": 0.9661416411399841,
"eval_loss": 0.12265008687973022,
"eval_runtime": 3.7694,
"eval_samples_per_second": 2475.974,
"eval_steps_per_second": 77.465,
"step": 3063
},
{
"epoch": 3.43,
"learning_rate": 1.5429317662422463e-05,
"loss": 0.0519,
"step": 3500
},
{
"epoch": 3.92,
"learning_rate": 1.4776363042768528e-05,
"loss": 0.0424,
"step": 4000
},
{
"epoch": 4.0,
"eval_accuracy": 0.9709632396697998,
"eval_loss": 0.14902332425117493,
"eval_runtime": 3.751,
"eval_samples_per_second": 2488.126,
"eval_steps_per_second": 77.846,
"step": 4084
},
{
"epoch": 4.41,
"learning_rate": 1.4123408423114595e-05,
"loss": 0.0261,
"step": 4500
},
{
"epoch": 4.9,
"learning_rate": 1.3470453803460662e-05,
"loss": 0.0279,
"step": 5000
},
{
"epoch": 5.0,
"eval_accuracy": 0.9638915657997131,
"eval_loss": 0.18987597525119781,
"eval_runtime": 3.5852,
"eval_samples_per_second": 2603.235,
"eval_steps_per_second": 81.447,
"step": 5105
},
{
"epoch": 5.39,
"learning_rate": 1.2817499183806728e-05,
"loss": 0.018,
"step": 5500
},
{
"epoch": 5.88,
"learning_rate": 1.2164544564152792e-05,
"loss": 0.0138,
"step": 6000
},
{
"epoch": 6.0,
"eval_accuracy": 0.9680702686309814,
"eval_loss": 0.21568563580513,
"eval_runtime": 3.5824,
"eval_samples_per_second": 2605.209,
"eval_steps_per_second": 81.509,
"step": 6126
},
{
"epoch": 6.37,
"learning_rate": 1.1511589944498858e-05,
"loss": 0.0085,
"step": 6500
},
{
"epoch": 6.86,
"learning_rate": 1.0858635324844923e-05,
"loss": 0.0101,
"step": 7000
},
{
"epoch": 7.0,
"eval_accuracy": 0.9694631695747375,
"eval_loss": 0.2687966227531433,
"eval_runtime": 3.7582,
"eval_samples_per_second": 2483.357,
"eval_steps_per_second": 77.696,
"step": 7147
},
{
"epoch": 7.35,
"learning_rate": 1.020568070519099e-05,
"loss": 0.0061,
"step": 7500
},
{
"epoch": 7.84,
"learning_rate": 9.552726085537057e-06,
"loss": 0.0064,
"step": 8000
},
{
"epoch": 8.0,
"eval_accuracy": 0.9679631590843201,
"eval_loss": 0.2600478231906891,
"eval_runtime": 3.593,
"eval_samples_per_second": 2597.552,
"eval_steps_per_second": 81.269,
"step": 8168
},
{
"epoch": 8.33,
"learning_rate": 8.899771465883122e-06,
"loss": 0.0043,
"step": 8500
},
{
"epoch": 8.81,
"learning_rate": 8.246816846229188e-06,
"loss": 0.0043,
"step": 9000
},
{
"epoch": 9.0,
"eval_accuracy": 0.9706417918205261,
"eval_loss": 0.26722854375839233,
"eval_runtime": 3.5876,
"eval_samples_per_second": 2601.484,
"eval_steps_per_second": 81.392,
"step": 9189
},
{
"epoch": 9.3,
"learning_rate": 7.593862226575253e-06,
"loss": 0.0037,
"step": 9500
},
{
"epoch": 9.79,
"learning_rate": 6.94090760692132e-06,
"loss": 0.0047,
"step": 10000
},
{
"epoch": 10.0,
"eval_accuracy": 0.9704275131225586,
"eval_loss": 0.2815804183483124,
"eval_runtime": 3.5611,
"eval_samples_per_second": 2620.796,
"eval_steps_per_second": 81.996,
"step": 10210
},
{
"epoch": 10.28,
"learning_rate": 6.287952987267385e-06,
"loss": 0.0019,
"step": 10500
},
{
"epoch": 10.77,
"learning_rate": 5.634998367613451e-06,
"loss": 0.0035,
"step": 11000
},
{
"epoch": 11.0,
"eval_accuracy": 0.9695703387260437,
"eval_loss": 0.2854035198688507,
"eval_runtime": 3.5955,
"eval_samples_per_second": 2595.76,
"eval_steps_per_second": 81.213,
"step": 11231
},
{
"epoch": 11.26,
"learning_rate": 4.9820437479595175e-06,
"loss": 0.0027,
"step": 11500
},
{
"epoch": 11.75,
"learning_rate": 4.329089128305583e-06,
"loss": 0.0016,
"step": 12000
},
{
"epoch": 12.0,
"eval_accuracy": 0.9701060652732849,
"eval_loss": 0.297050416469574,
"eval_runtime": 3.6052,
"eval_samples_per_second": 2588.747,
"eval_steps_per_second": 80.994,
"step": 12252
},
{
"epoch": 12.24,
"learning_rate": 3.676134508651649e-06,
"loss": 0.0022,
"step": 12500
},
{
"epoch": 12.73,
"learning_rate": 3.023179888997715e-06,
"loss": 0.0014,
"step": 13000
},
{
"epoch": 13.0,
"eval_accuracy": 0.9695703387260437,
"eval_loss": 0.2982116639614105,
"eval_runtime": 3.5886,
"eval_samples_per_second": 2600.765,
"eval_steps_per_second": 81.37,
"step": 13273
},
{
"epoch": 13.22,
"learning_rate": 2.370225269343781e-06,
"loss": 0.0013,
"step": 13500
},
{
"epoch": 13.71,
"learning_rate": 1.7172706496898467e-06,
"loss": 0.0026,
"step": 14000
},
{
"epoch": 14.0,
"eval_accuracy": 0.9711775183677673,
"eval_loss": 0.2929518520832062,
"eval_runtime": 3.6072,
"eval_samples_per_second": 2587.331,
"eval_steps_per_second": 80.949,
"step": 14294
}
],
"max_steps": 15315,
"num_train_epochs": 15,
"total_flos": 3.0079908340301824e+16,
"trial_name": null,
"trial_params": null
}