LamaDiab's picture
Training in progress, epoch 3, checkpoint
a802718 verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 3.0,
"eval_steps": 500,
"global_step": 6495,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.00046189376443418013,
"grad_norm": 12.800962448120117,
"learning_rate": 0.0,
"loss": 4.0583,
"step": 1
},
{
"epoch": 0.23094688221709006,
"eval_cosine_accuracy": 0.9421356916427612,
"eval_loss": 1.4610942602157593,
"eval_runtime": 21.999,
"eval_samples_per_second": 432.064,
"eval_steps_per_second": 1.727,
"step": 500
},
{
"epoch": 0.4618937644341801,
"eval_cosine_accuracy": 0.9457128047943115,
"eval_loss": 1.3612146377563477,
"eval_runtime": 21.8898,
"eval_samples_per_second": 434.22,
"eval_steps_per_second": 1.736,
"step": 1000
},
{
"epoch": 0.6928406466512702,
"eval_cosine_accuracy": 0.9528669118881226,
"eval_loss": 1.288307547569275,
"eval_runtime": 21.8186,
"eval_samples_per_second": 435.638,
"eval_steps_per_second": 1.742,
"step": 1500
},
{
"epoch": 0.9237875288683602,
"eval_cosine_accuracy": 0.9522356390953064,
"eval_loss": 1.2684112787246704,
"eval_runtime": 21.8066,
"eval_samples_per_second": 435.877,
"eval_steps_per_second": 1.743,
"step": 2000
},
{
"epoch": 1.0,
"grad_norm": 18.849971771240234,
"learning_rate": 1.6664098613251156e-05,
"loss": 2.6124,
"step": 2165
},
{
"epoch": 1.1547344110854503,
"eval_cosine_accuracy": 0.9541293978691101,
"eval_loss": 1.2559542655944824,
"eval_runtime": 21.9828,
"eval_samples_per_second": 432.383,
"eval_steps_per_second": 1.729,
"step": 2500
},
{
"epoch": 1.3856812933025404,
"eval_cosine_accuracy": 0.956233561038971,
"eval_loss": 1.1885266304016113,
"eval_runtime": 23.3704,
"eval_samples_per_second": 406.71,
"eval_steps_per_second": 1.626,
"step": 3000
},
{
"epoch": 1.6166281755196303,
"eval_cosine_accuracy": 0.9557075500488281,
"eval_loss": 1.187910556793213,
"eval_runtime": 21.9291,
"eval_samples_per_second": 433.442,
"eval_steps_per_second": 1.733,
"step": 3500
},
{
"epoch": 1.8475750577367207,
"eval_cosine_accuracy": 0.9580221176147461,
"eval_loss": 1.1555284261703491,
"eval_runtime": 21.9378,
"eval_samples_per_second": 433.27,
"eval_steps_per_second": 1.732,
"step": 4000
},
{
"epoch": 2.0,
"grad_norm": 17.494279861450195,
"learning_rate": 1.1120800205180818e-05,
"loss": 1.986,
"step": 4330
},
{
"epoch": 2.0785219399538106,
"eval_cosine_accuracy": 0.9582325220108032,
"eval_loss": 1.154712438583374,
"eval_runtime": 22.0846,
"eval_samples_per_second": 430.391,
"eval_steps_per_second": 1.721,
"step": 4500
},
{
"epoch": 2.3094688221709005,
"eval_cosine_accuracy": 0.9584429264068604,
"eval_loss": 1.145609974861145,
"eval_runtime": 22.0404,
"eval_samples_per_second": 431.254,
"eval_steps_per_second": 1.724,
"step": 5000
},
{
"epoch": 2.540415704387991,
"eval_cosine_accuracy": 0.9585481286048889,
"eval_loss": 1.135787844657898,
"eval_runtime": 23.3896,
"eval_samples_per_second": 406.377,
"eval_steps_per_second": 1.625,
"step": 5500
},
{
"epoch": 2.771362586605081,
"eval_cosine_accuracy": 0.9596002101898193,
"eval_loss": 1.1278640031814575,
"eval_runtime": 21.8218,
"eval_samples_per_second": 435.573,
"eval_steps_per_second": 1.741,
"step": 6000
},
{
"epoch": 3.0,
"grad_norm": 19.504749298095703,
"learning_rate": 2.0518081559374197e-08,
"loss": 1.8005,
"step": 6495
}
],
"logging_steps": 500,
"max_steps": 6495,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 0.0,
"train_batch_size": 256,
"trial_name": null,
"trial_params": null
}