offensive_speech_detection / trainer_state.json
mstatt's picture
Upload 11 files
aee8746
raw
history blame
7.06 kB
{
"best_metric": 0.01757008023560047,
"best_model_checkpoint": "./results/checkpoint-8500",
"epoch": 1.031873423526714,
"global_step": 9000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.06,
"learning_rate": 1.9617824657953072e-05,
"loss": 0.058,
"step": 500
},
{
"epoch": 0.06,
"eval_accuracy": 0.9880467809436451,
"eval_loss": 0.04749465361237526,
"eval_runtime": 369.9155,
"eval_samples_per_second": 94.308,
"eval_steps_per_second": 5.896,
"step": 500
},
{
"epoch": 0.11,
"learning_rate": 1.923564931590614e-05,
"loss": 0.0513,
"step": 1000
},
{
"epoch": 0.11,
"eval_accuracy": 0.9892220374935504,
"eval_loss": 0.044388506561517715,
"eval_runtime": 313.5583,
"eval_samples_per_second": 111.258,
"eval_steps_per_second": 6.956,
"step": 1000
},
{
"epoch": 0.17,
"learning_rate": 1.885347397385921e-05,
"loss": 0.0413,
"step": 1500
},
{
"epoch": 0.17,
"eval_accuracy": 0.9901393108983546,
"eval_loss": 0.044446878135204315,
"eval_runtime": 322.6458,
"eval_samples_per_second": 108.125,
"eval_steps_per_second": 6.76,
"step": 1500
},
{
"epoch": 0.23,
"learning_rate": 1.847129863181228e-05,
"loss": 0.0364,
"step": 2000
},
{
"epoch": 0.23,
"eval_accuracy": 0.9911712434787594,
"eval_loss": 0.037910301238298416,
"eval_runtime": 258.562,
"eval_samples_per_second": 134.923,
"eval_steps_per_second": 8.435,
"step": 2000
},
{
"epoch": 0.29,
"learning_rate": 1.8089123289765345e-05,
"loss": 0.0389,
"step": 2500
},
{
"epoch": 0.29,
"eval_accuracy": 0.9921171816774638,
"eval_loss": 0.03007333353161812,
"eval_runtime": 258.8834,
"eval_samples_per_second": 134.756,
"eval_steps_per_second": 8.425,
"step": 2500
},
{
"epoch": 0.34,
"learning_rate": 1.7706947947718412e-05,
"loss": 0.0343,
"step": 3000
},
{
"epoch": 0.34,
"eval_accuracy": 0.9923465000286648,
"eval_loss": 0.03364783525466919,
"eval_runtime": 258.3829,
"eval_samples_per_second": 135.017,
"eval_steps_per_second": 8.441,
"step": 3000
},
{
"epoch": 0.4,
"learning_rate": 1.7324772605671482e-05,
"loss": 0.0351,
"step": 3500
},
{
"epoch": 0.4,
"eval_accuracy": 0.9918591985323626,
"eval_loss": 0.030066516250371933,
"eval_runtime": 258.5585,
"eval_samples_per_second": 134.925,
"eval_steps_per_second": 8.435,
"step": 3500
},
{
"epoch": 0.46,
"learning_rate": 1.6942597263624552e-05,
"loss": 0.0343,
"step": 4000
},
{
"epoch": 0.46,
"eval_accuracy": 0.9925471535859657,
"eval_loss": 0.02801605314016342,
"eval_runtime": 308.2791,
"eval_samples_per_second": 113.164,
"eval_steps_per_second": 7.075,
"step": 4000
},
{
"epoch": 0.52,
"learning_rate": 1.6560421921577622e-05,
"loss": 0.0328,
"step": 4500
},
{
"epoch": 0.52,
"eval_accuracy": 0.9937224101358711,
"eval_loss": 0.022993654012680054,
"eval_runtime": 304.7606,
"eval_samples_per_second": 114.47,
"eval_steps_per_second": 7.156,
"step": 4500
},
{
"epoch": 0.57,
"learning_rate": 1.617824657953069e-05,
"loss": 0.0322,
"step": 5000
},
{
"epoch": 0.57,
"eval_accuracy": 0.9930631198761681,
"eval_loss": 0.022875914350152016,
"eval_runtime": 509.8625,
"eval_samples_per_second": 68.422,
"eval_steps_per_second": 4.278,
"step": 5000
},
{
"epoch": 0.63,
"learning_rate": 1.579607123748376e-05,
"loss": 0.0275,
"step": 5500
},
{
"epoch": 0.63,
"eval_accuracy": 0.994353035601674,
"eval_loss": 0.024034755304455757,
"eval_runtime": 296.8109,
"eval_samples_per_second": 117.536,
"eval_steps_per_second": 7.348,
"step": 5500
},
{
"epoch": 0.69,
"learning_rate": 1.541389589543683e-05,
"loss": 0.0288,
"step": 6000
},
{
"epoch": 0.69,
"eval_accuracy": 0.9946396835406753,
"eval_loss": 0.022033799439668655,
"eval_runtime": 293.7762,
"eval_samples_per_second": 118.75,
"eval_steps_per_second": 7.424,
"step": 6000
},
{
"epoch": 0.75,
"learning_rate": 1.5031720553389898e-05,
"loss": 0.0244,
"step": 6500
},
{
"epoch": 0.75,
"eval_accuracy": 0.9947543427162758,
"eval_loss": 0.02473697066307068,
"eval_runtime": 331.6878,
"eval_samples_per_second": 105.177,
"eval_steps_per_second": 6.575,
"step": 6500
},
{
"epoch": 0.8,
"learning_rate": 1.4649545211342966e-05,
"loss": 0.0243,
"step": 7000
},
{
"epoch": 0.8,
"eval_accuracy": 0.9946970131284756,
"eval_loss": 0.02222474291920662,
"eval_runtime": 343.6254,
"eval_samples_per_second": 101.523,
"eval_steps_per_second": 6.347,
"step": 7000
},
{
"epoch": 0.86,
"learning_rate": 1.4267369869296034e-05,
"loss": 0.0204,
"step": 7500
},
{
"epoch": 0.86,
"eval_accuracy": 0.9944390299833744,
"eval_loss": 0.020777888596057892,
"eval_runtime": 342.3258,
"eval_samples_per_second": 101.909,
"eval_steps_per_second": 6.371,
"step": 7500
},
{
"epoch": 0.92,
"learning_rate": 1.3885194527249105e-05,
"loss": 0.0219,
"step": 8000
},
{
"epoch": 0.92,
"eval_accuracy": 0.9955569569454795,
"eval_loss": 0.023240169510245323,
"eval_runtime": 340.3493,
"eval_samples_per_second": 102.501,
"eval_steps_per_second": 6.408,
"step": 8000
},
{
"epoch": 0.97,
"learning_rate": 1.3503019185202171e-05,
"loss": 0.0298,
"step": 8500
},
{
"epoch": 0.97,
"eval_accuracy": 0.9955282921515795,
"eval_loss": 0.01757008023560047,
"eval_runtime": 307.8345,
"eval_samples_per_second": 113.327,
"eval_steps_per_second": 7.085,
"step": 8500
},
{
"epoch": 1.03,
"learning_rate": 1.312084384315524e-05,
"loss": 0.0098,
"step": 9000
},
{
"epoch": 1.03,
"eval_accuracy": 0.9951843146247779,
"eval_loss": 0.026897920295596123,
"eval_runtime": 318.0815,
"eval_samples_per_second": 109.676,
"eval_steps_per_second": 6.857,
"step": 9000
}
],
"max_steps": 26166,
"num_train_epochs": 3,
"total_flos": 1.907424566727475e+16,
"trial_name": null,
"trial_params": null
}