sharkMeow's picture
End of training
5233113 verified
raw
history blame contribute delete
No virus
5.39 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 59.922928709055874,
"eval_steps": 1866,
"global_step": 18660,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 5.992292870905588,
"grad_norm": 0.014770383015275002,
"learning_rate": 9.004287245444802e-06,
"loss": 2.4856,
"step": 1866
},
{
"epoch": 5.992292870905588,
"eval_accuracy": 0.023725514052804476,
"eval_loss": 3.687168598175049,
"eval_runtime": 32.1095,
"eval_samples_per_second": 255.968,
"eval_steps_per_second": 6.416,
"step": 1866
},
{
"epoch": 11.984585741811175,
"grad_norm": 0.009874270297586918,
"learning_rate": 8.004287245444803e-06,
"loss": 2.4767,
"step": 3732
},
{
"epoch": 11.984585741811175,
"eval_accuracy": 0.0243946952183964,
"eval_loss": 3.6874239444732666,
"eval_runtime": 31.8736,
"eval_samples_per_second": 257.863,
"eval_steps_per_second": 6.463,
"step": 3732
},
{
"epoch": 17.976878612716764,
"grad_norm": 0.00965830311179161,
"learning_rate": 7.004287245444802e-06,
"loss": 2.4784,
"step": 5598
},
{
"epoch": 17.976878612716764,
"eval_accuracy": 0.024698868475483634,
"eval_loss": 3.6875760555267334,
"eval_runtime": 32.1903,
"eval_samples_per_second": 255.325,
"eval_steps_per_second": 6.399,
"step": 5598
},
{
"epoch": 23.96917148362235,
"grad_norm": 0.0134053910151124,
"learning_rate": 6.004287245444802e-06,
"loss": 2.4728,
"step": 7464
},
{
"epoch": 23.96917148362235,
"eval_accuracy": 0.02506387638398832,
"eval_loss": 3.6877822875976562,
"eval_runtime": 31.794,
"eval_samples_per_second": 258.508,
"eval_steps_per_second": 6.479,
"step": 7464
},
{
"epoch": 29.961464354527937,
"grad_norm": 0.024022573605179787,
"learning_rate": 5.004287245444802e-06,
"loss": 2.473,
"step": 9330
},
{
"epoch": 29.961464354527937,
"eval_accuracy": 0.02552621973476092,
"eval_loss": 3.687516927719116,
"eval_runtime": 32.1071,
"eval_samples_per_second": 255.987,
"eval_steps_per_second": 6.416,
"step": 9330
},
{
"epoch": 35.95375722543353,
"grad_norm": 2.473095655441284,
"learning_rate": 4.0042872454448026e-06,
"loss": 2.4621,
"step": 11196
},
{
"epoch": 35.95375722543353,
"eval_accuracy": 0.026605020886563652,
"eval_loss": 3.7371363639831543,
"eval_runtime": 31.7929,
"eval_samples_per_second": 258.517,
"eval_steps_per_second": 6.479,
"step": 11196
},
{
"epoch": 41.946050096339114,
"grad_norm": 8.784303665161133,
"learning_rate": 3.004287245444802e-06,
"loss": 2.3868,
"step": 13062
},
{
"epoch": 41.946050096339114,
"eval_accuracy": 0.026941059913440982,
"eval_loss": 3.8208398818969727,
"eval_runtime": 31.9481,
"eval_samples_per_second": 257.261,
"eval_steps_per_second": 6.448,
"step": 13062
},
{
"epoch": 47.9383429672447,
"grad_norm": 3.3316075801849365,
"learning_rate": 2.004823151125402e-06,
"loss": 2.3293,
"step": 14928
},
{
"epoch": 47.9383429672447,
"eval_accuracy": 0.026752037960822483,
"eval_loss": 3.8804972171783447,
"eval_runtime": 31.8972,
"eval_samples_per_second": 257.671,
"eval_steps_per_second": 6.458,
"step": 14928
},
{
"epoch": 53.93063583815029,
"grad_norm": 5.581373691558838,
"learning_rate": 1.005359056806002e-06,
"loss": 2.2917,
"step": 16794
},
{
"epoch": 53.93063583815029,
"eval_accuracy": 0.02671317137797245,
"eval_loss": 3.9712843894958496,
"eval_runtime": 32.2575,
"eval_samples_per_second": 254.794,
"eval_steps_per_second": 6.386,
"step": 16794
},
{
"epoch": 59.922928709055874,
"grad_norm": 7.843618392944336,
"learning_rate": 5.894962486602358e-09,
"loss": 2.2787,
"step": 18660
},
{
"epoch": 59.922928709055874,
"eval_accuracy": 0.026633410390558464,
"eval_loss": 4.026557922363281,
"eval_runtime": 31.9343,
"eval_samples_per_second": 257.372,
"eval_steps_per_second": 6.451,
"step": 18660
},
{
"epoch": 59.922928709055874,
"step": 18660,
"total_flos": 1.4768051860614912e+18,
"train_loss": 2.41349681596664,
"train_runtime": 33441.0012,
"train_samples_per_second": 111.698,
"train_steps_per_second": 0.558
}
],
"logging_steps": 1866,
"max_steps": 18660,
"num_input_tokens_seen": 0,
"num_train_epochs": 60,
"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": 1.4768051860614912e+18,
"train_batch_size": 40,
"trial_name": null,
"trial_params": null
}