CodeIsAbstract's picture
Training in progress, step 2000, checkpoint
bf3a120 verified
Raw
History Blame
4.34 kB
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.04,
"eval_steps": 1000,
"global_step": 2000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.002,
"grad_norm": 1.158125638961792,
"learning_rate": 7.920000000000001e-05,
"loss": 8.2536,
"step": 100
},
{
"epoch": 0.004,
"grad_norm": 0.6474116444587708,
"learning_rate": 0.00015920000000000002,
"loss": 6.577,
"step": 200
},
{
"epoch": 0.006,
"grad_norm": 0.8440109491348267,
"learning_rate": 0.00023920000000000001,
"loss": 6.1636,
"step": 300
},
{
"epoch": 0.008,
"grad_norm": 0.712805986404419,
"learning_rate": 0.0003192,
"loss": 5.8686,
"step": 400
},
{
"epoch": 0.01,
"grad_norm": 0.6756730675697327,
"learning_rate": 0.0003992,
"loss": 5.5639,
"step": 500
},
{
"epoch": 0.012,
"grad_norm": 0.8336403965950012,
"learning_rate": 0.00047920000000000005,
"loss": 5.3098,
"step": 600
},
{
"epoch": 0.014,
"grad_norm": 0.6417033672332764,
"learning_rate": 0.0005592,
"loss": 5.0845,
"step": 700
},
{
"epoch": 0.016,
"grad_norm": 0.5867908596992493,
"learning_rate": 0.0006392,
"loss": 4.8767,
"step": 800
},
{
"epoch": 0.018,
"grad_norm": 0.5321984887123108,
"learning_rate": 0.0007191999999999999,
"loss": 4.7211,
"step": 900
},
{
"epoch": 0.02,
"grad_norm": 0.5662059187889099,
"learning_rate": 0.0007992,
"loss": 4.6059,
"step": 1000
},
{
"epoch": 0.02,
"eval_accuracy": 0.2709784735812133,
"eval_loss": 4.504483222961426,
"eval_runtime": 11.2003,
"eval_samples_per_second": 89.283,
"eval_steps_per_second": 0.714,
"step": 1000
},
{
"epoch": 0.022,
"grad_norm": 0.45525625348091125,
"learning_rate": 0.0008792,
"loss": 4.4901,
"step": 1100
},
{
"epoch": 0.024,
"grad_norm": 0.4701859652996063,
"learning_rate": 0.0009592000000000001,
"loss": 4.4344,
"step": 1200
},
{
"epoch": 0.026,
"grad_norm": 0.40884163975715637,
"learning_rate": 0.0010391999999999999,
"loss": 4.3707,
"step": 1300
},
{
"epoch": 0.028,
"grad_norm": 0.3846769332885742,
"learning_rate": 0.0011192,
"loss": 4.336,
"step": 1400
},
{
"epoch": 0.03,
"grad_norm": 0.3585458993911743,
"learning_rate": 0.0011992,
"loss": 4.2832,
"step": 1500
},
{
"epoch": 0.032,
"grad_norm": 0.4558027982711792,
"learning_rate": 0.0012791999999999999,
"loss": 4.2599,
"step": 1600
},
{
"epoch": 0.034,
"grad_norm": 0.33011195063591003,
"learning_rate": 0.0013592,
"loss": 4.2287,
"step": 1700
},
{
"epoch": 0.036,
"grad_norm": 0.32163774967193604,
"learning_rate": 0.0014392,
"loss": 4.1932,
"step": 1800
},
{
"epoch": 0.038,
"grad_norm": 0.30342814326286316,
"learning_rate": 0.0015192,
"loss": 4.1447,
"step": 1900
},
{
"epoch": 0.04,
"grad_norm": 0.32037997245788574,
"learning_rate": 0.0015992,
"loss": 4.149,
"step": 2000
},
{
"epoch": 0.04,
"eval_accuracy": 0.30734833659491195,
"eval_loss": 4.087185859680176,
"eval_runtime": 11.8275,
"eval_samples_per_second": 84.549,
"eval_steps_per_second": 0.676,
"step": 2000
}
],
"logging_steps": 100,
"max_steps": 50000,
"num_input_tokens_seen": 0,
"num_train_epochs": 9223372036854775807,
"save_steps": 2000,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 0.0,
"train_batch_size": 128,
"trial_name": null,
"trial_params": null
}