adapters-gemma-bnb8-QLORA-super_glue-wsc / trainer_state-gemma-bnb8-QLORA-super_glue-wsc-sequence_classification.json
RMHalak's picture
Task: SequenceClassification
4f34e5d verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 5.925925925925926,
"eval_steps": 1,
"global_step": 10,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 267.1435852050781,
"learning_rate": 2.5e-05,
"loss": 3.6544,
"step": 1
},
{
"epoch": 1.0,
"eval_accuracy": 0.6212121212121212,
"eval_loss": 3.440249443054199,
"eval_runtime": 10.753,
"eval_samples_per_second": 12.276,
"eval_steps_per_second": 0.651,
"step": 1
},
{
"epoch": 1.1851851851851851,
"grad_norm": 58.776756286621094,
"learning_rate": 5e-05,
"loss": 0.7994,
"step": 2
},
{
"epoch": 1.1851851851851851,
"eval_accuracy": 0.6212121212121212,
"eval_loss": 1.934098243713379,
"eval_runtime": 10.7499,
"eval_samples_per_second": 12.279,
"eval_steps_per_second": 0.651,
"step": 2
},
{
"epoch": 2.0,
"grad_norm": 195.9375457763672,
"learning_rate": 4.375e-05,
"loss": 1.5175,
"step": 3
},
{
"epoch": 2.0,
"eval_accuracy": 0.3787878787878788,
"eval_loss": 2.742687702178955,
"eval_runtime": 10.7555,
"eval_samples_per_second": 12.273,
"eval_steps_per_second": 0.651,
"step": 3
},
{
"epoch": 2.3703703703703702,
"grad_norm": 106.63079071044922,
"learning_rate": 3.7500000000000003e-05,
"loss": 0.795,
"step": 4
},
{
"epoch": 2.3703703703703702,
"eval_accuracy": 0.3787878787878788,
"eval_loss": 2.8957302570343018,
"eval_runtime": 10.7308,
"eval_samples_per_second": 12.301,
"eval_steps_per_second": 0.652,
"step": 4
},
{
"epoch": 3.0,
"grad_norm": 171.42628479003906,
"learning_rate": 3.125e-05,
"loss": 1.3457,
"step": 5
},
{
"epoch": 3.0,
"eval_accuracy": 0.38636363636363635,
"eval_loss": 1.5985740423202515,
"eval_runtime": 10.7661,
"eval_samples_per_second": 12.261,
"eval_steps_per_second": 0.65,
"step": 5
},
{
"epoch": 3.5555555555555554,
"grad_norm": 127.56062316894531,
"learning_rate": 2.5e-05,
"loss": 0.6679,
"step": 6
},
{
"epoch": 3.5555555555555554,
"eval_accuracy": 0.5606060606060606,
"eval_loss": 0.7368663549423218,
"eval_runtime": 10.7584,
"eval_samples_per_second": 12.27,
"eval_steps_per_second": 0.651,
"step": 6
},
{
"epoch": 4.0,
"grad_norm": 9.635160446166992,
"learning_rate": 1.8750000000000002e-05,
"loss": 0.2683,
"step": 7
},
{
"epoch": 4.0,
"eval_accuracy": 0.6212121212121212,
"eval_loss": 1.010995626449585,
"eval_runtime": 10.7353,
"eval_samples_per_second": 12.296,
"eval_steps_per_second": 0.652,
"step": 7
},
{
"epoch": 4.7407407407407405,
"grad_norm": 142.32652282714844,
"learning_rate": 1.25e-05,
"loss": 0.7235,
"step": 8
},
{
"epoch": 4.7407407407407405,
"eval_accuracy": 0.6212121212121212,
"eval_loss": 1.204453468322754,
"eval_runtime": 10.7462,
"eval_samples_per_second": 12.283,
"eval_steps_per_second": 0.651,
"step": 8
},
{
"epoch": 5.0,
"grad_norm": 59.76286315917969,
"learning_rate": 6.25e-06,
"loss": 0.3247,
"step": 9
},
{
"epoch": 5.0,
"eval_accuracy": 0.6212121212121212,
"eval_loss": 1.1849852800369263,
"eval_runtime": 10.7387,
"eval_samples_per_second": 12.292,
"eval_steps_per_second": 0.652,
"step": 9
},
{
"epoch": 5.925925925925926,
"grad_norm": 205.0324249267578,
"learning_rate": 0.0,
"loss": 1.0798,
"step": 10
},
{
"epoch": 5.925925925925926,
"eval_accuracy": 0.6212121212121212,
"eval_loss": 1.127427577972412,
"eval_runtime": 10.7462,
"eval_samples_per_second": 12.283,
"eval_steps_per_second": 0.651,
"step": 10
},
{
"epoch": 5.925925925925926,
"step": 10,
"total_flos": 1.4890673025245184e+16,
"train_loss": 1.1176074355840684,
"train_runtime": 1045.0059,
"train_samples_per_second": 5.033,
"train_steps_per_second": 0.01
}
],
"logging_steps": 1,
"max_steps": 10,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 1.4890673025245184e+16,
"train_batch_size": 20,
"trial_name": null,
"trial_params": null
}