mbart-mmt_5p3_ko-zh / trainer_state.json
yesj1234's picture
Upload folder using huggingface_hub
9804c52
{
"best_metric": 12.0444,
"best_model_checkpoint": "./tst-translation-output5/checkpoint-6000",
"epoch": 5.143591941705958,
"eval_steps": 2000,
"global_step": 12000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.21,
"learning_rate": 1.6566666666666665e-05,
"loss": 2.2544,
"step": 500
},
{
"epoch": 0.43,
"learning_rate": 3.323333333333333e-05,
"loss": 1.5518,
"step": 1000
},
{
"epoch": 0.64,
"learning_rate": 4.99e-05,
"loss": 1.4716,
"step": 1500
},
{
"epoch": 0.86,
"learning_rate": 4.9729361794815946e-05,
"loss": 1.3822,
"step": 2000
},
{
"epoch": 0.86,
"eval_bleu": 8.4562,
"eval_gen_len": 15.8491,
"eval_loss": 1.369325041770935,
"eval_runtime": 299.4199,
"eval_samples_per_second": 15.58,
"eval_steps_per_second": 0.975,
"step": 2000
},
{
"epoch": 1.07,
"learning_rate": 4.9457089958614686e-05,
"loss": 1.2265,
"step": 2500
},
{
"epoch": 1.29,
"learning_rate": 4.918481812241342e-05,
"loss": 1.0251,
"step": 3000
},
{
"epoch": 1.5,
"learning_rate": 4.891254628621216e-05,
"loss": 1.0351,
"step": 3500
},
{
"epoch": 1.71,
"learning_rate": 4.864027445001089e-05,
"loss": 1.0081,
"step": 4000
},
{
"epoch": 1.71,
"eval_bleu": 11.3956,
"eval_gen_len": 15.239,
"eval_loss": 1.2806029319763184,
"eval_runtime": 274.3132,
"eval_samples_per_second": 17.006,
"eval_steps_per_second": 1.064,
"step": 4000
},
{
"epoch": 1.93,
"learning_rate": 4.836854715748203e-05,
"loss": 1.0022,
"step": 4500
},
{
"epoch": 2.14,
"learning_rate": 4.809627532128077e-05,
"loss": 0.774,
"step": 5000
},
{
"epoch": 2.36,
"learning_rate": 4.78240034850795e-05,
"loss": 0.673,
"step": 5500
},
{
"epoch": 2.57,
"learning_rate": 4.755227619255064e-05,
"loss": 0.7007,
"step": 6000
},
{
"epoch": 2.57,
"eval_bleu": 12.0444,
"eval_gen_len": 15.34,
"eval_loss": 1.3149274587631226,
"eval_runtime": 275.621,
"eval_samples_per_second": 16.925,
"eval_steps_per_second": 1.059,
"step": 6000
},
{
"epoch": 2.79,
"learning_rate": 4.728000435634938e-05,
"loss": 0.7025,
"step": 6500
},
{
"epoch": 3.0,
"learning_rate": 4.7007732520148115e-05,
"loss": 0.7042,
"step": 7000
},
{
"epoch": 3.21,
"learning_rate": 4.6735460683946854e-05,
"loss": 0.4363,
"step": 7500
},
{
"epoch": 3.43,
"learning_rate": 4.6463733391417995e-05,
"loss": 0.4483,
"step": 8000
},
{
"epoch": 3.43,
"eval_bleu": 11.5647,
"eval_gen_len": 15.2139,
"eval_loss": 1.417746901512146,
"eval_runtime": 266.1794,
"eval_samples_per_second": 17.526,
"eval_steps_per_second": 1.097,
"step": 8000
},
{
"epoch": 3.64,
"learning_rate": 4.6191461555216734e-05,
"loss": 0.4609,
"step": 8500
},
{
"epoch": 3.86,
"learning_rate": 4.5919189719015466e-05,
"loss": 0.4811,
"step": 9000
},
{
"epoch": 4.07,
"learning_rate": 4.564800697015901e-05,
"loss": 0.4172,
"step": 9500
},
{
"epoch": 4.29,
"learning_rate": 4.537573513395775e-05,
"loss": 0.2837,
"step": 10000
},
{
"epoch": 4.29,
"eval_bleu": 11.1306,
"eval_gen_len": 15.2984,
"eval_loss": 1.5126218795776367,
"eval_runtime": 263.8822,
"eval_samples_per_second": 17.678,
"eval_steps_per_second": 1.107,
"step": 10000
},
{
"epoch": 4.5,
"learning_rate": 4.510346329775648e-05,
"loss": 0.2955,
"step": 10500
},
{
"epoch": 4.71,
"learning_rate": 4.483119146155522e-05,
"loss": 0.3166,
"step": 11000
},
{
"epoch": 4.93,
"learning_rate": 4.455891962535396e-05,
"loss": 0.323,
"step": 11500
},
{
"epoch": 5.14,
"learning_rate": 4.428664778915269e-05,
"loss": 0.2276,
"step": 12000
},
{
"epoch": 5.14,
"eval_bleu": 11.1467,
"eval_gen_len": 15.2992,
"eval_loss": 1.5938239097595215,
"eval_runtime": 266.5302,
"eval_samples_per_second": 17.503,
"eval_steps_per_second": 1.096,
"step": 12000
},
{
"epoch": 5.14,
"step": 12000,
"total_flos": 4.16088915443712e+17,
"train_loss": 0.8000754559834798,
"train_runtime": 9676.4117,
"train_samples_per_second": 154.289,
"train_steps_per_second": 9.644
}
],
"logging_steps": 500,
"max_steps": 93320,
"num_train_epochs": 40,
"save_steps": 2000,
"total_flos": 4.16088915443712e+17,
"trial_name": null,
"trial_params": null
}