adapters-gemma-bnb8-QLORA-super_glue-axb
/
trainer_state-gemma-bnb8-QLORA-super_glue-axb-sequence_classification.json
{ | |
"best_metric": null, | |
"best_model_checkpoint": null, | |
"epoch": 5.714285714285714, | |
"eval_steps": 1, | |
"global_step": 10, | |
"is_hyper_param_search": false, | |
"is_local_process_zero": true, | |
"is_world_process_zero": true, | |
"log_history": [ | |
{ | |
"epoch": 0.5714285714285714, | |
"grad_norm": 236.1022186279297, | |
"learning_rate": 2.5e-05, | |
"loss": 4.248, | |
"step": 1 | |
}, | |
{ | |
"epoch": 0.5714285714285714, | |
"eval_loss": 3.8642280101776123, | |
"eval_matthews_correlation": -0.09185689054860074, | |
"eval_runtime": 14.6232, | |
"eval_samples_per_second": 15.113, | |
"eval_steps_per_second": 0.479, | |
"step": 1 | |
}, | |
{ | |
"epoch": 1.1428571428571428, | |
"grad_norm": 258.9085693359375, | |
"learning_rate": 5e-05, | |
"loss": 4.7899, | |
"step": 2 | |
}, | |
{ | |
"epoch": 1.1428571428571428, | |
"eval_loss": 2.353182077407837, | |
"eval_matthews_correlation": 0.02782382086884636, | |
"eval_runtime": 14.5627, | |
"eval_samples_per_second": 15.176, | |
"eval_steps_per_second": 0.481, | |
"step": 2 | |
}, | |
{ | |
"epoch": 1.7142857142857144, | |
"grad_norm": 144.017578125, | |
"learning_rate": 4.375e-05, | |
"loss": 2.2087, | |
"step": 3 | |
}, | |
{ | |
"epoch": 1.7142857142857144, | |
"eval_loss": 5.36915397644043, | |
"eval_matthews_correlation": 0.10992116885414299, | |
"eval_runtime": 14.5637, | |
"eval_samples_per_second": 15.175, | |
"eval_steps_per_second": 0.481, | |
"step": 3 | |
}, | |
{ | |
"epoch": 2.2857142857142856, | |
"grad_norm": 219.81997680664062, | |
"learning_rate": 3.7500000000000003e-05, | |
"loss": 5.938, | |
"step": 4 | |
}, | |
{ | |
"epoch": 2.2857142857142856, | |
"eval_loss": 4.713024616241455, | |
"eval_matthews_correlation": 0.1493839222204547, | |
"eval_runtime": 14.6478, | |
"eval_samples_per_second": 15.088, | |
"eval_steps_per_second": 0.478, | |
"step": 4 | |
}, | |
{ | |
"epoch": 2.857142857142857, | |
"grad_norm": 226.86795043945312, | |
"learning_rate": 3.125e-05, | |
"loss": 5.0085, | |
"step": 5 | |
}, | |
{ | |
"epoch": 2.857142857142857, | |
"eval_loss": 3.2357559204101562, | |
"eval_matthews_correlation": 0.13539571021609156, | |
"eval_runtime": 14.603, | |
"eval_samples_per_second": 15.134, | |
"eval_steps_per_second": 0.479, | |
"step": 5 | |
}, | |
{ | |
"epoch": 3.4285714285714284, | |
"grad_norm": 172.67315673828125, | |
"learning_rate": 2.5e-05, | |
"loss": 2.928, | |
"step": 6 | |
}, | |
{ | |
"epoch": 3.4285714285714284, | |
"eval_loss": 2.1480770111083984, | |
"eval_matthews_correlation": 0.14878673292578765, | |
"eval_runtime": 14.5857, | |
"eval_samples_per_second": 15.152, | |
"eval_steps_per_second": 0.48, | |
"step": 6 | |
}, | |
{ | |
"epoch": 4.0, | |
"grad_norm": 109.5372314453125, | |
"learning_rate": 1.8750000000000002e-05, | |
"loss": 1.6375, | |
"step": 7 | |
}, | |
{ | |
"epoch": 4.0, | |
"eval_loss": 1.7387173175811768, | |
"eval_matthews_correlation": 0.11220065011812017, | |
"eval_runtime": 14.5798, | |
"eval_samples_per_second": 15.158, | |
"eval_steps_per_second": 0.48, | |
"step": 7 | |
}, | |
{ | |
"epoch": 4.571428571428571, | |
"grad_norm": 18.393611907958984, | |
"learning_rate": 1.25e-05, | |
"loss": 1.2763, | |
"step": 8 | |
}, | |
{ | |
"epoch": 4.571428571428571, | |
"eval_loss": 1.6940361261367798, | |
"eval_matthews_correlation": 0.19882361280961788, | |
"eval_runtime": 14.5675, | |
"eval_samples_per_second": 15.171, | |
"eval_steps_per_second": 0.481, | |
"step": 8 | |
}, | |
{ | |
"epoch": 5.142857142857143, | |
"grad_norm": 53.67533874511719, | |
"learning_rate": 6.25e-06, | |
"loss": 1.1177, | |
"step": 9 | |
}, | |
{ | |
"epoch": 5.142857142857143, | |
"eval_loss": 1.7173782587051392, | |
"eval_matthews_correlation": 0.2607736125317351, | |
"eval_runtime": 14.5773, | |
"eval_samples_per_second": 15.161, | |
"eval_steps_per_second": 0.48, | |
"step": 9 | |
}, | |
{ | |
"epoch": 5.714285714285714, | |
"grad_norm": 66.04159545898438, | |
"learning_rate": 0.0, | |
"loss": 1.2015, | |
"step": 10 | |
}, | |
{ | |
"epoch": 5.714285714285714, | |
"eval_loss": 1.703056812286377, | |
"eval_matthews_correlation": 0.2569900999685935, | |
"eval_runtime": 14.5472, | |
"eval_samples_per_second": 15.192, | |
"eval_steps_per_second": 0.481, | |
"step": 10 | |
}, | |
{ | |
"epoch": 5.714285714285714, | |
"step": 10, | |
"total_flos": 2.309181566021837e+16, | |
"train_loss": 3.035413348674774, | |
"train_runtime": 1489.7156, | |
"train_samples_per_second": 5.927, | |
"train_steps_per_second": 0.007 | |
} | |
], | |
"logging_steps": 1, | |
"max_steps": 10, | |
"num_input_tokens_seen": 0, | |
"num_train_epochs": 10, | |
"save_steps": 500, | |
"total_flos": 2.309181566021837e+16, | |
"train_batch_size": 32, | |
"trial_name": null, | |
"trial_params": null | |
} | |