farmery's picture
Upload folder using huggingface_hub
001375b verified
raw
history blame
10.3 kB
{
"best_metric": 3.5846145153045654,
"best_model_checkpoint": "miner_id_24/checkpoint-50",
"epoch": 0.013916189747247204,
"eval_steps": 25,
"global_step": 50,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0002783237949449441,
"grad_norm": 0.8763601779937744,
"learning_rate": 5e-05,
"loss": 4.2308,
"step": 1
},
{
"epoch": 0.0002783237949449441,
"eval_loss": 4.522602081298828,
"eval_runtime": 277.9908,
"eval_samples_per_second": 87.071,
"eval_steps_per_second": 10.885,
"step": 1
},
{
"epoch": 0.0005566475898898882,
"grad_norm": 0.9096955060958862,
"learning_rate": 0.0001,
"loss": 4.3967,
"step": 2
},
{
"epoch": 0.0008349713848348322,
"grad_norm": 0.9401690363883972,
"learning_rate": 9.989294616193017e-05,
"loss": 4.6497,
"step": 3
},
{
"epoch": 0.0011132951797797764,
"grad_norm": 0.933310329914093,
"learning_rate": 9.957224306869053e-05,
"loss": 4.3687,
"step": 4
},
{
"epoch": 0.0013916189747247203,
"grad_norm": 0.8714249134063721,
"learning_rate": 9.903926402016153e-05,
"loss": 4.5192,
"step": 5
},
{
"epoch": 0.0016699427696696644,
"grad_norm": 0.8110895752906799,
"learning_rate": 9.829629131445342e-05,
"loss": 4.1845,
"step": 6
},
{
"epoch": 0.0019482665646146085,
"grad_norm": 0.7333737015724182,
"learning_rate": 9.73465064747553e-05,
"loss": 4.0796,
"step": 7
},
{
"epoch": 0.002226590359559553,
"grad_norm": 0.7350586652755737,
"learning_rate": 9.619397662556435e-05,
"loss": 4.1837,
"step": 8
},
{
"epoch": 0.002504914154504497,
"grad_norm": 0.80406254529953,
"learning_rate": 9.484363707663442e-05,
"loss": 3.9974,
"step": 9
},
{
"epoch": 0.0027832379494494405,
"grad_norm": 0.8980859518051147,
"learning_rate": 9.330127018922194e-05,
"loss": 4.0257,
"step": 10
},
{
"epoch": 0.0030615617443943846,
"grad_norm": 0.8786382079124451,
"learning_rate": 9.157348061512727e-05,
"loss": 4.0053,
"step": 11
},
{
"epoch": 0.0033398855393393287,
"grad_norm": 0.8526495099067688,
"learning_rate": 8.966766701456177e-05,
"loss": 3.8001,
"step": 12
},
{
"epoch": 0.003618209334284273,
"grad_norm": 0.877073347568512,
"learning_rate": 8.759199037394887e-05,
"loss": 3.948,
"step": 13
},
{
"epoch": 0.003896533129229217,
"grad_norm": 0.8117573261260986,
"learning_rate": 8.535533905932738e-05,
"loss": 3.7985,
"step": 14
},
{
"epoch": 0.004174856924174161,
"grad_norm": 0.774189293384552,
"learning_rate": 8.296729075500344e-05,
"loss": 3.6935,
"step": 15
},
{
"epoch": 0.004453180719119106,
"grad_norm": 0.7428269982337952,
"learning_rate": 8.043807145043604e-05,
"loss": 3.7893,
"step": 16
},
{
"epoch": 0.004731504514064049,
"grad_norm": 0.6813673973083496,
"learning_rate": 7.777851165098012e-05,
"loss": 3.7173,
"step": 17
},
{
"epoch": 0.005009828309008994,
"grad_norm": 0.7335220575332642,
"learning_rate": 7.500000000000001e-05,
"loss": 3.803,
"step": 18
},
{
"epoch": 0.005288152103953937,
"grad_norm": 0.6577491164207458,
"learning_rate": 7.211443451095007e-05,
"loss": 3.7833,
"step": 19
},
{
"epoch": 0.005566475898898881,
"grad_norm": 0.6891123056411743,
"learning_rate": 6.91341716182545e-05,
"loss": 3.6431,
"step": 20
},
{
"epoch": 0.005844799693843826,
"grad_norm": 0.6233853697776794,
"learning_rate": 6.607197326515808e-05,
"loss": 3.6553,
"step": 21
},
{
"epoch": 0.006123123488788769,
"grad_norm": 0.7227319478988647,
"learning_rate": 6.294095225512603e-05,
"loss": 3.7862,
"step": 22
},
{
"epoch": 0.006401447283733714,
"grad_norm": 0.6844795942306519,
"learning_rate": 5.9754516100806423e-05,
"loss": 3.5573,
"step": 23
},
{
"epoch": 0.0066797710786786575,
"grad_norm": 0.6574005484580994,
"learning_rate": 5.6526309611002594e-05,
"loss": 3.4255,
"step": 24
},
{
"epoch": 0.006958094873623602,
"grad_norm": 0.800177276134491,
"learning_rate": 5.327015646150716e-05,
"loss": 3.8353,
"step": 25
},
{
"epoch": 0.006958094873623602,
"eval_loss": 3.6570544242858887,
"eval_runtime": 278.6942,
"eval_samples_per_second": 86.851,
"eval_steps_per_second": 10.858,
"step": 25
},
{
"epoch": 0.007236418668568546,
"grad_norm": 0.6127904057502747,
"learning_rate": 5e-05,
"loss": 3.5487,
"step": 26
},
{
"epoch": 0.00751474246351349,
"grad_norm": 0.5885407328605652,
"learning_rate": 4.6729843538492847e-05,
"loss": 3.5667,
"step": 27
},
{
"epoch": 0.007793066258458434,
"grad_norm": 0.5534403920173645,
"learning_rate": 4.347369038899744e-05,
"loss": 3.6743,
"step": 28
},
{
"epoch": 0.008071390053403378,
"grad_norm": 0.5488076210021973,
"learning_rate": 4.0245483899193595e-05,
"loss": 3.5629,
"step": 29
},
{
"epoch": 0.008349713848348322,
"grad_norm": 0.5961767435073853,
"learning_rate": 3.705904774487396e-05,
"loss": 3.7467,
"step": 30
},
{
"epoch": 0.008628037643293266,
"grad_norm": 0.6138086318969727,
"learning_rate": 3.392802673484193e-05,
"loss": 3.6084,
"step": 31
},
{
"epoch": 0.008906361438238211,
"grad_norm": 0.5839231014251709,
"learning_rate": 3.086582838174551e-05,
"loss": 3.565,
"step": 32
},
{
"epoch": 0.009184685233183155,
"grad_norm": 0.5631768703460693,
"learning_rate": 2.7885565489049946e-05,
"loss": 3.5084,
"step": 33
},
{
"epoch": 0.009463009028128098,
"grad_norm": 0.5296745300292969,
"learning_rate": 2.500000000000001e-05,
"loss": 3.522,
"step": 34
},
{
"epoch": 0.009741332823073042,
"grad_norm": 0.5764396786689758,
"learning_rate": 2.2221488349019903e-05,
"loss": 3.5396,
"step": 35
},
{
"epoch": 0.010019656618017988,
"grad_norm": 0.5587449073791504,
"learning_rate": 1.9561928549563968e-05,
"loss": 3.4536,
"step": 36
},
{
"epoch": 0.010297980412962931,
"grad_norm": 0.5895846486091614,
"learning_rate": 1.703270924499656e-05,
"loss": 3.4087,
"step": 37
},
{
"epoch": 0.010576304207907875,
"grad_norm": 0.5716074109077454,
"learning_rate": 1.4644660940672627e-05,
"loss": 3.5968,
"step": 38
},
{
"epoch": 0.010854628002852819,
"grad_norm": 0.567530632019043,
"learning_rate": 1.2408009626051137e-05,
"loss": 3.5489,
"step": 39
},
{
"epoch": 0.011132951797797762,
"grad_norm": 0.5670365691184998,
"learning_rate": 1.0332332985438248e-05,
"loss": 3.7333,
"step": 40
},
{
"epoch": 0.011411275592742708,
"grad_norm": 0.5206403136253357,
"learning_rate": 8.426519384872733e-06,
"loss": 3.5818,
"step": 41
},
{
"epoch": 0.011689599387687651,
"grad_norm": 0.5400410890579224,
"learning_rate": 6.698729810778065e-06,
"loss": 3.5827,
"step": 42
},
{
"epoch": 0.011967923182632595,
"grad_norm": 0.5015483498573303,
"learning_rate": 5.156362923365588e-06,
"loss": 3.4444,
"step": 43
},
{
"epoch": 0.012246246977577539,
"grad_norm": 0.5309357643127441,
"learning_rate": 3.8060233744356633e-06,
"loss": 3.6769,
"step": 44
},
{
"epoch": 0.012524570772522484,
"grad_norm": 0.5056427121162415,
"learning_rate": 2.653493525244721e-06,
"loss": 3.6734,
"step": 45
},
{
"epoch": 0.012802894567467428,
"grad_norm": 0.5647780895233154,
"learning_rate": 1.70370868554659e-06,
"loss": 3.5375,
"step": 46
},
{
"epoch": 0.013081218362412371,
"grad_norm": 0.5235017538070679,
"learning_rate": 9.607359798384785e-07,
"loss": 3.4555,
"step": 47
},
{
"epoch": 0.013359542157357315,
"grad_norm": 0.5554877519607544,
"learning_rate": 4.277569313094809e-07,
"loss": 3.5906,
"step": 48
},
{
"epoch": 0.01363786595230226,
"grad_norm": 0.6095041036605835,
"learning_rate": 1.0705383806982606e-07,
"loss": 3.4301,
"step": 49
},
{
"epoch": 0.013916189747247204,
"grad_norm": 0.6034445762634277,
"learning_rate": 0.0,
"loss": 3.636,
"step": 50
},
{
"epoch": 0.013916189747247204,
"eval_loss": 3.5846145153045654,
"eval_runtime": 278.0802,
"eval_samples_per_second": 87.043,
"eval_steps_per_second": 10.882,
"step": 50
}
],
"logging_steps": 1,
"max_steps": 50,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 25,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 1,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1.059536353886208e+17,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}