mikhail-panzo's picture
Training in progress, step 1500, checkpoint
a77a495 verified
raw
history blame
6.41 kB
{
"best_metric": 0.41223829984664917,
"best_model_checkpoint": "mikhail-panzo/zlm-fil-ceb_b64_le5_s8000/checkpoint-1500",
"epoch": 65.21739130434783,
"eval_steps": 500,
"global_step": 1500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 2.1739130434782608,
"grad_norm": 0.7357823252677917,
"learning_rate": 2.5000000000000004e-07,
"loss": 0.4055,
"step": 50
},
{
"epoch": 4.3478260869565215,
"grad_norm": 0.7944665551185608,
"learning_rate": 5.000000000000001e-07,
"loss": 0.3988,
"step": 100
},
{
"epoch": 6.521739130434782,
"grad_norm": 0.7226569652557373,
"learning_rate": 7.5e-07,
"loss": 0.4072,
"step": 150
},
{
"epoch": 8.695652173913043,
"grad_norm": 0.7845238447189331,
"learning_rate": 1.0000000000000002e-06,
"loss": 0.4028,
"step": 200
},
{
"epoch": 10.869565217391305,
"grad_norm": 0.9769566655158997,
"learning_rate": 1.25e-06,
"loss": 0.4066,
"step": 250
},
{
"epoch": 13.043478260869565,
"grad_norm": 0.8634074330329895,
"learning_rate": 1.5e-06,
"loss": 0.405,
"step": 300
},
{
"epoch": 15.217391304347826,
"grad_norm": 0.9029327034950256,
"learning_rate": 1.75e-06,
"loss": 0.4074,
"step": 350
},
{
"epoch": 17.391304347826086,
"grad_norm": 0.7624074220657349,
"learning_rate": 2.0000000000000003e-06,
"loss": 0.406,
"step": 400
},
{
"epoch": 19.565217391304348,
"grad_norm": 1.005196213722229,
"learning_rate": 2.25e-06,
"loss": 0.4052,
"step": 450
},
{
"epoch": 21.73913043478261,
"grad_norm": 1.0276380777359009,
"learning_rate": 2.5e-06,
"loss": 0.4019,
"step": 500
},
{
"epoch": 21.73913043478261,
"eval_loss": 0.4143177568912506,
"eval_runtime": 6.4074,
"eval_samples_per_second": 24.815,
"eval_steps_per_second": 3.121,
"step": 500
},
{
"epoch": 23.91304347826087,
"grad_norm": 0.9067140817642212,
"learning_rate": 2.7500000000000004e-06,
"loss": 0.4021,
"step": 550
},
{
"epoch": 26.08695652173913,
"grad_norm": 0.8799042701721191,
"learning_rate": 3e-06,
"loss": 0.4071,
"step": 600
},
{
"epoch": 28.26086956521739,
"grad_norm": 1.0451533794403076,
"learning_rate": 3.2500000000000002e-06,
"loss": 0.4146,
"step": 650
},
{
"epoch": 30.434782608695652,
"grad_norm": 0.7998800277709961,
"learning_rate": 3.5e-06,
"loss": 0.4023,
"step": 700
},
{
"epoch": 32.608695652173914,
"grad_norm": 1.0301792621612549,
"learning_rate": 3.7500000000000005e-06,
"loss": 0.4045,
"step": 750
},
{
"epoch": 34.78260869565217,
"grad_norm": 0.6388185620307922,
"learning_rate": 4.000000000000001e-06,
"loss": 0.4045,
"step": 800
},
{
"epoch": 36.95652173913044,
"grad_norm": 0.9676840901374817,
"learning_rate": 4.25e-06,
"loss": 0.4116,
"step": 850
},
{
"epoch": 39.130434782608695,
"grad_norm": 0.8355514407157898,
"learning_rate": 4.5e-06,
"loss": 0.4013,
"step": 900
},
{
"epoch": 41.30434782608695,
"grad_norm": 0.7534067630767822,
"learning_rate": 4.75e-06,
"loss": 0.4019,
"step": 950
},
{
"epoch": 43.47826086956522,
"grad_norm": 0.9366117119789124,
"learning_rate": 5e-06,
"loss": 0.4064,
"step": 1000
},
{
"epoch": 43.47826086956522,
"eval_loss": 0.41316837072372437,
"eval_runtime": 6.5616,
"eval_samples_per_second": 24.232,
"eval_steps_per_second": 3.048,
"step": 1000
},
{
"epoch": 45.65217391304348,
"grad_norm": 0.7025179266929626,
"learning_rate": 5.2500000000000006e-06,
"loss": 0.4061,
"step": 1050
},
{
"epoch": 47.82608695652174,
"grad_norm": 0.9240646958351135,
"learning_rate": 5.500000000000001e-06,
"loss": 0.4061,
"step": 1100
},
{
"epoch": 50.0,
"grad_norm": 0.9685391187667847,
"learning_rate": 5.75e-06,
"loss": 0.4063,
"step": 1150
},
{
"epoch": 52.17391304347826,
"grad_norm": 0.8591094017028809,
"learning_rate": 6e-06,
"loss": 0.4013,
"step": 1200
},
{
"epoch": 54.34782608695652,
"grad_norm": 0.9348228573799133,
"learning_rate": 6.25e-06,
"loss": 0.402,
"step": 1250
},
{
"epoch": 56.52173913043478,
"grad_norm": 0.7908409237861633,
"learning_rate": 6.5000000000000004e-06,
"loss": 0.4046,
"step": 1300
},
{
"epoch": 58.69565217391305,
"grad_norm": 1.109017014503479,
"learning_rate": 6.750000000000001e-06,
"loss": 0.3995,
"step": 1350
},
{
"epoch": 60.869565217391305,
"grad_norm": 0.8529478311538696,
"learning_rate": 7e-06,
"loss": 0.4018,
"step": 1400
},
{
"epoch": 63.04347826086956,
"grad_norm": 0.9947476387023926,
"learning_rate": 7.25e-06,
"loss": 0.401,
"step": 1450
},
{
"epoch": 65.21739130434783,
"grad_norm": 1.2476813793182373,
"learning_rate": 7.500000000000001e-06,
"loss": 0.4034,
"step": 1500
},
{
"epoch": 65.21739130434783,
"eval_loss": 0.41223829984664917,
"eval_runtime": 6.5846,
"eval_samples_per_second": 24.147,
"eval_steps_per_second": 3.037,
"step": 1500
}
],
"logging_steps": 50,
"max_steps": 8000,
"num_input_tokens_seen": 0,
"num_train_epochs": 348,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 2.219563975801709e+16,
"train_batch_size": 64,
"trial_name": null,
"trial_params": null
}