t5-base-pointer-mtop / trainer_state.json
WillHeld's picture
End of training
e804365
{
"best_metric": 0.11308582127094269,
"best_model_checkpoint": "/data/wheld3/mt5-base-pointer-mtop/checkpoint-1200",
"epoch": 99.9800918836141,
"global_step": 3000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 6.65,
"learning_rate": 0.0009333333333333333,
"loss": 1.7749,
"step": 200
},
{
"epoch": 6.65,
"eval_exact_match": 0.003131991051454139,
"eval_loss": 0.5892038345336914,
"eval_runtime": 135.5401,
"eval_samples_per_second": 16.49,
"eval_steps_per_second": 2.066,
"step": 200
},
{
"epoch": 13.33,
"learning_rate": 0.0008666666666666667,
"loss": 0.6021,
"step": 400
},
{
"epoch": 13.33,
"eval_exact_match": 0.013870246085011185,
"eval_loss": 0.5159956216812134,
"eval_runtime": 130.613,
"eval_samples_per_second": 17.112,
"eval_steps_per_second": 2.144,
"step": 400
},
{
"epoch": 19.98,
"learning_rate": 0.0008,
"loss": 0.6044,
"step": 600
},
{
"epoch": 19.98,
"eval_exact_match": 0.053243847874720356,
"eval_loss": 0.40801870822906494,
"eval_runtime": 132.1423,
"eval_samples_per_second": 16.914,
"eval_steps_per_second": 2.119,
"step": 600
},
{
"epoch": 26.65,
"learning_rate": 0.0007333333333333333,
"loss": 0.3302,
"step": 800
},
{
"epoch": 26.65,
"eval_exact_match": 0.36196868008948546,
"eval_loss": 0.18654391169548035,
"eval_runtime": 134.276,
"eval_samples_per_second": 16.645,
"eval_steps_per_second": 2.085,
"step": 800
},
{
"epoch": 33.33,
"learning_rate": 0.0006666666666666666,
"loss": 0.1483,
"step": 1000
},
{
"epoch": 33.33,
"eval_exact_match": 0.5105145413870246,
"eval_loss": 0.1267053484916687,
"eval_runtime": 133.0912,
"eval_samples_per_second": 16.793,
"eval_steps_per_second": 2.104,
"step": 1000
},
{
"epoch": 39.98,
"learning_rate": 0.0006,
"loss": 0.0768,
"step": 1200
},
{
"epoch": 39.98,
"eval_exact_match": 0.5297539149888143,
"eval_loss": 0.11308582127094269,
"eval_runtime": 139.8147,
"eval_samples_per_second": 15.985,
"eval_steps_per_second": 2.003,
"step": 1200
},
{
"epoch": 46.65,
"learning_rate": 0.0005333333333333334,
"loss": 0.0525,
"step": 1400
},
{
"epoch": 46.65,
"eval_exact_match": 0.5413870246085011,
"eval_loss": 0.12185565382242203,
"eval_runtime": 132.0637,
"eval_samples_per_second": 16.924,
"eval_steps_per_second": 2.12,
"step": 1400
},
{
"epoch": 53.33,
"learning_rate": 0.00046666666666666666,
"loss": 0.0801,
"step": 1600
},
{
"epoch": 53.33,
"eval_exact_match": 0.5275167785234899,
"eval_loss": 0.11860152333974838,
"eval_runtime": 132.256,
"eval_samples_per_second": 16.899,
"eval_steps_per_second": 2.117,
"step": 1600
},
{
"epoch": 59.98,
"learning_rate": 0.0004,
"loss": 0.0331,
"step": 1800
},
{
"epoch": 59.98,
"eval_exact_match": 0.5422818791946309,
"eval_loss": 0.13056021928787231,
"eval_runtime": 132.9523,
"eval_samples_per_second": 16.811,
"eval_steps_per_second": 2.106,
"step": 1800
},
{
"epoch": 66.65,
"learning_rate": 0.0003333333333333333,
"loss": 0.0254,
"step": 2000
},
{
"epoch": 66.65,
"eval_exact_match": 0.5395973154362416,
"eval_loss": 0.13960428535938263,
"eval_runtime": 135.7759,
"eval_samples_per_second": 16.461,
"eval_steps_per_second": 2.062,
"step": 2000
},
{
"epoch": 73.33,
"learning_rate": 0.0002666666666666667,
"loss": 0.0168,
"step": 2200
},
{
"epoch": 73.33,
"eval_exact_match": 0.5436241610738255,
"eval_loss": 0.15595464408397675,
"eval_runtime": 134.0818,
"eval_samples_per_second": 16.669,
"eval_steps_per_second": 2.088,
"step": 2200
},
{
"epoch": 79.98,
"learning_rate": 0.0002,
"loss": 0.0129,
"step": 2400
},
{
"epoch": 79.98,
"eval_exact_match": 0.5494407158836689,
"eval_loss": 0.16592496633529663,
"eval_runtime": 133.0433,
"eval_samples_per_second": 16.799,
"eval_steps_per_second": 2.105,
"step": 2400
},
{
"epoch": 86.65,
"learning_rate": 0.00013333333333333334,
"loss": 0.0105,
"step": 2600
},
{
"epoch": 86.65,
"eval_exact_match": 0.5422818791946309,
"eval_loss": 0.16985595226287842,
"eval_runtime": 137.112,
"eval_samples_per_second": 16.301,
"eval_steps_per_second": 2.042,
"step": 2600
},
{
"epoch": 93.33,
"learning_rate": 6.666666666666667e-05,
"loss": 0.0088,
"step": 2800
},
{
"epoch": 93.33,
"eval_exact_match": 0.5472035794183445,
"eval_loss": 0.17423103749752045,
"eval_runtime": 132.2768,
"eval_samples_per_second": 16.896,
"eval_steps_per_second": 2.117,
"step": 2800
},
{
"epoch": 99.98,
"learning_rate": 0.0,
"loss": 0.0077,
"step": 3000
},
{
"epoch": 99.98,
"eval_exact_match": 0.5467561521252796,
"eval_loss": 0.17754317820072174,
"eval_runtime": 132.953,
"eval_samples_per_second": 16.81,
"eval_steps_per_second": 2.106,
"step": 3000
},
{
"epoch": 99.98,
"step": 3000,
"total_flos": 7.72413437221586e+16,
"train_loss": 0.2523062037229538,
"train_runtime": 33274.6395,
"train_samples_per_second": 46.161,
"train_steps_per_second": 0.09
}
],
"max_steps": 3000,
"num_train_epochs": 100,
"total_flos": 7.72413437221586e+16,
"trial_name": null,
"trial_params": null
}