imdatta0's picture
End of training
8b1b653 verified
raw
history blame
3.77 kB
{
"best_metric": 3.0729734897613525,
"best_model_checkpoint": "/home/datta0/models/lora_final/gemma-2-9b_pct_reverse/checkpoint-8",
"epoch": 0.10301810865191147,
"eval_steps": 8,
"global_step": 40,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.002575452716297787,
"grad_norm": 10.251696586608887,
"learning_rate": 1.25e-05,
"loss": 2.1764,
"step": 1
},
{
"epoch": 0.010301810865191148,
"grad_norm": 8.478413581848145,
"learning_rate": 5e-05,
"loss": 2.2413,
"step": 4
},
{
"epoch": 0.020603621730382295,
"grad_norm": 7.021224021911621,
"learning_rate": 0.0001,
"loss": 2.3931,
"step": 8
},
{
"epoch": 0.020603621730382295,
"eval_loss": 3.0729734897613525,
"eval_runtime": 708.7312,
"eval_samples_per_second": 0.346,
"eval_steps_per_second": 0.346,
"step": 8
},
{
"epoch": 0.03090543259557344,
"grad_norm": 8.235655784606934,
"learning_rate": 9.997266286704631e-05,
"loss": 6.3624,
"step": 12
},
{
"epoch": 0.04120724346076459,
"grad_norm": 6.444003582000732,
"learning_rate": 9.989068136093873e-05,
"loss": 10.6943,
"step": 16
},
{
"epoch": 0.04120724346076459,
"eval_loss": 10.896873474121094,
"eval_runtime": 565.8534,
"eval_samples_per_second": 0.433,
"eval_steps_per_second": 0.433,
"step": 16
},
{
"epoch": 0.05150905432595573,
"grad_norm": 1.8430720567703247,
"learning_rate": 9.975414512725057e-05,
"loss": 11.1032,
"step": 20
},
{
"epoch": 0.06181086519114688,
"grad_norm": 1.1158581972122192,
"learning_rate": 9.956320346634876e-05,
"loss": 11.3663,
"step": 24
},
{
"epoch": 0.06181086519114688,
"eval_loss": 11.264862060546875,
"eval_runtime": 375.8938,
"eval_samples_per_second": 0.652,
"eval_steps_per_second": 0.652,
"step": 24
},
{
"epoch": 0.07211267605633803,
"grad_norm": 1.7539372444152832,
"learning_rate": 9.931806517013612e-05,
"loss": 11.4815,
"step": 28
},
{
"epoch": 0.08241448692152918,
"grad_norm": 2.6324522495269775,
"learning_rate": 9.901899829374047e-05,
"loss": 11.5978,
"step": 32
},
{
"epoch": 0.08241448692152918,
"eval_loss": 11.56078052520752,
"eval_runtime": 567.8708,
"eval_samples_per_second": 0.431,
"eval_steps_per_second": 0.431,
"step": 32
},
{
"epoch": 0.09271629778672032,
"grad_norm": 1.0548502206802368,
"learning_rate": 9.86663298624003e-05,
"loss": 11.6535,
"step": 36
},
{
"epoch": 0.10301810865191147,
"grad_norm": 1.1618255376815796,
"learning_rate": 9.826044551386744e-05,
"loss": 11.6505,
"step": 40
},
{
"epoch": 0.10301810865191147,
"eval_loss": 11.69133472442627,
"eval_runtime": 367.9621,
"eval_samples_per_second": 0.666,
"eval_steps_per_second": 0.666,
"step": 40
}
],
"logging_steps": 4,
"max_steps": 388,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 8,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 5.709775783098778e+16,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}