hazel-drift-17 / trainer_state.json
BayesTensor's picture
upload checkpoint-80
1b3d445 verified
Raw History Blame Contribute Delete
10.4 kB
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.6736842105263157,
"eval_steps": 12,
"global_step": 80,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0,
"eval_loss": 1.2786176204681396,
"eval_ppl": 3.59167,
"eval_runtime": 276.2614,
"eval_samples_per_second": 0.576,
"eval_steps_per_second": 0.576,
"memory/device_reserved (GiB)": 42.45,
"memory/max_active (GiB)": 40.26,
"memory/max_allocated (GiB)": 38.06,
"step": 0
},
{
"epoch": 0.10526315789473684,
"grad_norm": 4.365630626678467,
"learning_rate": 7e-06,
"loss": 1.1477760314941405,
"memory/device_reserved (GiB)": 71.27,
"memory/max_active (GiB)": 53.99,
"memory/max_allocated (GiB)": 51.79,
"ppl": 3.15118,
"step": 5,
"tokens/total": 2621440,
"tokens/trainable": 489230
},
{
"epoch": 0.21052631578947367,
"grad_norm": 2.4648349285125732,
"learning_rate": 6.952144421988455e-06,
"loss": 0.9022371292114257,
"memory/device_reserved (GiB)": 71.27,
"memory/max_active (GiB)": 53.96,
"memory/max_allocated (GiB)": 51.79,
"ppl": 2.46511,
"step": 10,
"tokens/total": 5242880,
"tokens/train_per_sec_per_gpu": 225.38,
"tokens/trainable": 896733
},
{
"epoch": 0.25263157894736843,
"eval_loss": 0.7994529604911804,
"eval_ppl": 2.22432,
"eval_runtime": 276.9872,
"eval_samples_per_second": 0.574,
"eval_steps_per_second": 0.574,
"memory/device_reserved (GiB)": 71.27,
"memory/max_active (GiB)": 53.96,
"memory/max_allocated (GiB)": 51.79,
"step": 12
},
{
"epoch": 0.3157894736842105,
"grad_norm": 1.6509625911712646,
"learning_rate": 6.810031755475611e-06,
"loss": 0.7818592548370361,
"memory/device_reserved (GiB)": 74.72,
"memory/max_active (GiB)": 53.96,
"memory/max_allocated (GiB)": 51.79,
"ppl": 2.18553,
"step": 15,
"tokens/total": 7864320,
"tokens/train_per_sec_per_gpu": 208.77,
"tokens/trainable": 1345756
},
{
"epoch": 0.42105263157894735,
"grad_norm": 1.7147045135498047,
"learning_rate": 6.577980021920982e-06,
"loss": 0.7099627494812012,
"memory/device_reserved (GiB)": 74.72,
"memory/max_active (GiB)": 53.96,
"memory/max_allocated (GiB)": 51.79,
"ppl": 2.03392,
"step": 20,
"tokens/total": 10485760,
"tokens/train_per_sec_per_gpu": 361.48,
"tokens/trainable": 1808219
},
{
"epoch": 0.5052631578947369,
"eval_loss": 0.6555427312850952,
"eval_ppl": 1.92619,
"eval_runtime": 248.0295,
"eval_samples_per_second": 0.641,
"eval_steps_per_second": 0.641,
"memory/device_reserved (GiB)": 74.72,
"memory/max_active (GiB)": 53.96,
"memory/max_allocated (GiB)": 51.79,
"step": 24
},
{
"epoch": 0.5263157894736842,
"grad_norm": 1.5091627836227417,
"learning_rate": 6.26303999582478e-06,
"loss": 0.6799451828002929,
"memory/device_reserved (GiB)": 74.7,
"memory/max_active (GiB)": 53.96,
"memory/max_allocated (GiB)": 51.79,
"ppl": 1.97377,
"step": 25,
"tokens/total": 13107200,
"tokens/train_per_sec_per_gpu": 268.83,
"tokens/trainable": 2291286
},
{
"epoch": 0.631578947368421,
"grad_norm": 1.6102690696716309,
"learning_rate": 5.874780970512599e-06,
"loss": 0.625995397567749,
"memory/device_reserved (GiB)": 74.7,
"memory/max_active (GiB)": 53.99,
"memory/max_allocated (GiB)": 51.79,
"ppl": 1.87011,
"step": 30,
"tokens/total": 15728640,
"tokens/train_per_sec_per_gpu": 380.95,
"tokens/trainable": 2755207
},
{
"epoch": 0.7368421052631579,
"grad_norm": 1.7557069063186646,
"learning_rate": 5.425e-06,
"loss": 0.5982392787933349,
"memory/device_reserved (GiB)": 74.7,
"memory/max_active (GiB)": 53.99,
"memory/max_allocated (GiB)": 51.79,
"ppl": 1.81891,
"step": 35,
"tokens/total": 18350080,
"tokens/train_per_sec_per_gpu": 309.14,
"tokens/trainable": 3213136
},
{
"epoch": 0.7578947368421053,
"eval_loss": 0.5690193176269531,
"eval_ppl": 1.76653,
"eval_runtime": 247.7474,
"eval_samples_per_second": 0.642,
"eval_steps_per_second": 0.642,
"memory/device_reserved (GiB)": 71.11,
"memory/max_active (GiB)": 53.96,
"memory/max_allocated (GiB)": 51.79,
"step": 36
},
{
"epoch": 0.8421052631578947,
"grad_norm": 1.497903823852539,
"learning_rate": 4.927363451475857e-06,
"loss": 0.5714361667633057,
"memory/device_reserved (GiB)": 74.7,
"memory/max_active (GiB)": 53.99,
"memory/max_allocated (GiB)": 51.79,
"ppl": 1.77081,
"step": 40,
"tokens/total": 20971520,
"tokens/train_per_sec_per_gpu": 325.41,
"tokens/trainable": 3696644
},
{
"epoch": 0.9473684210526315,
"grad_norm": 1.6041510105133057,
"learning_rate": 4.396991759650831e-06,
"loss": 0.5171830177307128,
"memory/device_reserved (GiB)": 74.7,
"memory/max_active (GiB)": 53.99,
"memory/max_allocated (GiB)": 51.79,
"ppl": 1.6773,
"step": 45,
"tokens/total": 23592960,
"tokens/train_per_sec_per_gpu": 298.87,
"tokens/trainable": 4143446
},
{
"epoch": 1.0,
"eval_loss": 0.5053056478500366,
"eval_ppl": 1.65749,
"eval_runtime": 247.076,
"eval_samples_per_second": 0.644,
"eval_steps_per_second": 0.644,
"memory/device_reserved (GiB)": 71.11,
"memory/max_active (GiB)": 53.96,
"memory/max_allocated (GiB)": 51.79,
"step": 48
},
{
"epoch": 1.0421052631578946,
"grad_norm": 1.7307233810424805,
"learning_rate": 3.85e-06,
"loss": 0.47033162117004396,
"memory/device_reserved (GiB)": 74.7,
"memory/max_active (GiB)": 53.96,
"memory/max_allocated (GiB)": 51.79,
"ppl": 1.60052,
"step": 50,
"tokens/total": 25952256,
"tokens/train_per_sec_per_gpu": 237.38,
"tokens/trainable": 4500374
},
{
"epoch": 1.1473684210526316,
"grad_norm": 1.4362328052520752,
"learning_rate": 3.3030082403491696e-06,
"loss": 0.43146610260009766,
"memory/device_reserved (GiB)": 74.7,
"memory/max_active (GiB)": 53.99,
"memory/max_allocated (GiB)": 51.79,
"ppl": 1.53951,
"step": 55,
"tokens/total": 28573696,
"tokens/train_per_sec_per_gpu": 266.77,
"tokens/trainable": 4937656
},
{
"epoch": 1.2526315789473683,
"grad_norm": 1.665703535079956,
"learning_rate": 2.7726365485241435e-06,
"loss": 0.4059854030609131,
"memory/device_reserved (GiB)": 71.11,
"memory/max_active (GiB)": 53.96,
"memory/max_allocated (GiB)": 51.79,
"ppl": 1.50078,
"step": 60,
"tokens/total": 31195136,
"tokens/train_per_sec_per_gpu": 312.86,
"tokens/trainable": 5365027
},
{
"epoch": 1.2526315789473683,
"eval_loss": 0.46400853991508484,
"eval_ppl": 1.59044,
"eval_runtime": 245.9575,
"eval_samples_per_second": 0.646,
"eval_steps_per_second": 0.646,
"memory/device_reserved (GiB)": 71.11,
"memory/max_active (GiB)": 40.28,
"memory/max_allocated (GiB)": 38.08,
"step": 60
},
{
"epoch": 1.3578947368421053,
"grad_norm": 1.6653640270233154,
"learning_rate": 2.2750000000000007e-06,
"loss": 0.3871333599090576,
"memory/device_reserved (GiB)": 71.11,
"memory/max_active (GiB)": 53.99,
"memory/max_allocated (GiB)": 51.79,
"ppl": 1.47275,
"step": 65,
"tokens/total": 33816576,
"tokens/train_per_sec_per_gpu": 235.21,
"tokens/trainable": 5817060
},
{
"epoch": 1.4631578947368422,
"grad_norm": 1.733436942100525,
"learning_rate": 1.8252190294874008e-06,
"loss": 0.38542895317077636,
"memory/device_reserved (GiB)": 71.11,
"memory/max_active (GiB)": 53.96,
"memory/max_allocated (GiB)": 51.79,
"ppl": 1.47024,
"step": 70,
"tokens/total": 36438016,
"tokens/train_per_sec_per_gpu": 326.88,
"tokens/trainable": 6266148
},
{
"epoch": 1.5052631578947369,
"eval_loss": 0.43543583154678345,
"eval_ppl": 1.54564,
"eval_runtime": 250.6228,
"eval_samples_per_second": 0.634,
"eval_steps_per_second": 0.634,
"memory/device_reserved (GiB)": 71.11,
"memory/max_active (GiB)": 53.96,
"memory/max_allocated (GiB)": 51.79,
"step": 72
},
{
"epoch": 1.568421052631579,
"grad_norm": 1.515413522720337,
"learning_rate": 1.4369600041752197e-06,
"loss": 0.3665297508239746,
"memory/device_reserved (GiB)": 74.7,
"memory/max_active (GiB)": 53.99,
"memory/max_allocated (GiB)": 51.79,
"ppl": 1.44272,
"step": 75,
"tokens/total": 39059456,
"tokens/train_per_sec_per_gpu": 239.62,
"tokens/trainable": 6725806
},
{
"epoch": 1.6736842105263157,
"grad_norm": 1.5554890632629395,
"learning_rate": 1.122019978079018e-06,
"loss": 0.34335381984710694,
"memory/device_reserved (GiB)": 74.7,
"memory/max_active (GiB)": 53.99,
"memory/max_allocated (GiB)": 51.79,
"ppl": 1.40967,
"step": 80,
"tokens/total": 41680896,
"tokens/train_per_sec_per_gpu": 344.08,
"tokens/trainable": 7193319
}
],
"logging_steps": 5,
"max_steps": 94,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 10,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 366247445266432.0,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}