pixel-small-words / last-checkpoint /trainer_state.json
plip's picture
Training in progress, step 10000
d1d8f4d
raw
history blame
4.76 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.2548549875121056,
"global_step": 10000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 5.999999999999999e-06,
"loss": 0.8907,
"step": 500
},
{
"epoch": 0.03,
"learning_rate": 1.1999999999999999e-05,
"loss": 0.7216,
"step": 1000
},
{
"epoch": 0.03,
"eval_loss": 0.9141247272491455,
"eval_runtime": 1.2377,
"eval_samples_per_second": 807.918,
"eval_steps_per_second": 12.927,
"step": 1000
},
{
"epoch": 0.04,
"learning_rate": 1.7999999999999997e-05,
"loss": 0.7122,
"step": 1500
},
{
"epoch": 0.05,
"learning_rate": 2.3999999999999997e-05,
"loss": 0.7114,
"step": 2000
},
{
"epoch": 0.05,
"eval_loss": 0.9156034588813782,
"eval_runtime": 1.1631,
"eval_samples_per_second": 859.777,
"eval_steps_per_second": 13.756,
"step": 2000
},
{
"epoch": 0.06,
"learning_rate": 2.9999999999999997e-05,
"loss": 0.7111,
"step": 2500
},
{
"epoch": 0.08,
"learning_rate": 3.5999999999999994e-05,
"loss": 0.711,
"step": 3000
},
{
"epoch": 0.08,
"eval_loss": 0.915696918964386,
"eval_runtime": 1.149,
"eval_samples_per_second": 870.294,
"eval_steps_per_second": 13.925,
"step": 3000
},
{
"epoch": 0.09,
"learning_rate": 4.2e-05,
"loss": 0.7107,
"step": 3500
},
{
"epoch": 0.1,
"learning_rate": 4.7999999999999994e-05,
"loss": 0.7102,
"step": 4000
},
{
"epoch": 0.1,
"eval_loss": 0.8820520043373108,
"eval_runtime": 1.2331,
"eval_samples_per_second": 810.943,
"eval_steps_per_second": 12.975,
"step": 4000
},
{
"epoch": 0.11,
"learning_rate": 5.399999999999999e-05,
"loss": 0.7096,
"step": 4500
},
{
"epoch": 0.13,
"learning_rate": 5.9999999999999995e-05,
"loss": 0.709,
"step": 5000
},
{
"epoch": 0.13,
"eval_loss": 0.8773962259292603,
"eval_runtime": 1.22,
"eval_samples_per_second": 819.664,
"eval_steps_per_second": 13.115,
"step": 5000
},
{
"epoch": 0.14,
"learning_rate": 6.599999999999999e-05,
"loss": 0.7087,
"step": 5500
},
{
"epoch": 0.15,
"learning_rate": 7.199999999999999e-05,
"loss": 0.7083,
"step": 6000
},
{
"epoch": 0.15,
"eval_loss": 0.8944988250732422,
"eval_runtime": 1.1878,
"eval_samples_per_second": 841.893,
"eval_steps_per_second": 13.47,
"step": 6000
},
{
"epoch": 0.17,
"learning_rate": 7.8e-05,
"loss": 0.6868,
"step": 6500
},
{
"epoch": 0.18,
"learning_rate": 8.4e-05,
"loss": 0.6516,
"step": 7000
},
{
"epoch": 0.18,
"eval_loss": 0.8944807648658752,
"eval_runtime": 1.2213,
"eval_samples_per_second": 818.801,
"eval_steps_per_second": 13.101,
"step": 7000
},
{
"epoch": 0.19,
"learning_rate": 8.999999999999999e-05,
"loss": 0.6267,
"step": 7500
},
{
"epoch": 0.2,
"learning_rate": 9.599999999999999e-05,
"loss": 0.6042,
"step": 8000
},
{
"epoch": 0.2,
"eval_loss": 0.8855597972869873,
"eval_runtime": 1.1662,
"eval_samples_per_second": 857.462,
"eval_steps_per_second": 13.719,
"step": 8000
},
{
"epoch": 0.22,
"learning_rate": 0.000102,
"loss": 0.5883,
"step": 8500
},
{
"epoch": 0.23,
"learning_rate": 0.00010799999999999998,
"loss": 0.5732,
"step": 9000
},
{
"epoch": 0.23,
"eval_loss": 0.8907042741775513,
"eval_runtime": 1.2023,
"eval_samples_per_second": 831.767,
"eval_steps_per_second": 13.308,
"step": 9000
},
{
"epoch": 0.24,
"learning_rate": 0.00011399999999999999,
"loss": 0.559,
"step": 9500
},
{
"epoch": 0.25,
"learning_rate": 0.00011999999999999999,
"loss": 0.5506,
"step": 10000
},
{
"epoch": 0.25,
"eval_loss": 0.8921875953674316,
"eval_runtime": 1.197,
"eval_samples_per_second": 835.455,
"eval_steps_per_second": 13.367,
"step": 10000
}
],
"max_steps": 500000,
"num_train_epochs": 13,
"total_flos": 3.194871387745e+20,
"trial_name": null,
"trial_params": null
}