|
{ |
|
"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 |
|
} |
|
|