great0001's picture
Training in progress, step 39, checkpoint
fda23b8 verified
raw
history blame
8.25 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.016586921850079744,
"eval_steps": 13,
"global_step": 39,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0004253056884635832,
"grad_norm": 0.2786005139350891,
"learning_rate": 5e-06,
"loss": 0.8579,
"step": 1
},
{
"epoch": 0.0004253056884635832,
"eval_loss": 0.9026059508323669,
"eval_runtime": 91.1092,
"eval_samples_per_second": 10.866,
"eval_steps_per_second": 5.433,
"step": 1
},
{
"epoch": 0.0008506113769271664,
"grad_norm": 0.2709323465824127,
"learning_rate": 1e-05,
"loss": 0.8977,
"step": 2
},
{
"epoch": 0.0012759170653907496,
"grad_norm": 0.2819572687149048,
"learning_rate": 1.5e-05,
"loss": 0.7939,
"step": 3
},
{
"epoch": 0.0017012227538543328,
"grad_norm": 0.29136133193969727,
"learning_rate": 2e-05,
"loss": 0.9395,
"step": 4
},
{
"epoch": 0.002126528442317916,
"grad_norm": 0.26331567764282227,
"learning_rate": 2.5e-05,
"loss": 0.9607,
"step": 5
},
{
"epoch": 0.002551834130781499,
"grad_norm": 0.2830480933189392,
"learning_rate": 3e-05,
"loss": 0.8113,
"step": 6
},
{
"epoch": 0.0029771398192450825,
"grad_norm": 0.26591408252716064,
"learning_rate": 3.5e-05,
"loss": 0.8025,
"step": 7
},
{
"epoch": 0.0034024455077086655,
"grad_norm": 0.26501235365867615,
"learning_rate": 4e-05,
"loss": 0.7995,
"step": 8
},
{
"epoch": 0.003827751196172249,
"grad_norm": 0.3157069683074951,
"learning_rate": 4.5e-05,
"loss": 0.8294,
"step": 9
},
{
"epoch": 0.004253056884635832,
"grad_norm": 0.2955096960067749,
"learning_rate": 5e-05,
"loss": 0.8991,
"step": 10
},
{
"epoch": 0.004678362573099415,
"grad_norm": 0.34986257553100586,
"learning_rate": 4.99229333433282e-05,
"loss": 0.9643,
"step": 11
},
{
"epoch": 0.005103668261562998,
"grad_norm": 0.323536217212677,
"learning_rate": 4.9692208514878444e-05,
"loss": 0.8256,
"step": 12
},
{
"epoch": 0.005528973950026581,
"grad_norm": 0.3692857623100281,
"learning_rate": 4.9309248009941914e-05,
"loss": 0.8779,
"step": 13
},
{
"epoch": 0.005528973950026581,
"eval_loss": 0.8817930221557617,
"eval_runtime": 89.8917,
"eval_samples_per_second": 11.013,
"eval_steps_per_second": 5.507,
"step": 13
},
{
"epoch": 0.005954279638490165,
"grad_norm": 0.4119487404823303,
"learning_rate": 4.877641290737884e-05,
"loss": 0.9006,
"step": 14
},
{
"epoch": 0.006379585326953748,
"grad_norm": 0.3977135419845581,
"learning_rate": 4.8096988312782174e-05,
"loss": 0.9069,
"step": 15
},
{
"epoch": 0.006804891015417331,
"grad_norm": 0.45003339648246765,
"learning_rate": 4.72751631047092e-05,
"loss": 0.9576,
"step": 16
},
{
"epoch": 0.007230196703880914,
"grad_norm": 0.40881747007369995,
"learning_rate": 4.6316004108852305e-05,
"loss": 0.7697,
"step": 17
},
{
"epoch": 0.007655502392344498,
"grad_norm": 0.5239385962486267,
"learning_rate": 4.522542485937369e-05,
"loss": 0.8861,
"step": 18
},
{
"epoch": 0.00808080808080808,
"grad_norm": 0.4427054822444916,
"learning_rate": 4.401014914000078e-05,
"loss": 0.8403,
"step": 19
},
{
"epoch": 0.008506113769271665,
"grad_norm": 0.4336467683315277,
"learning_rate": 4.267766952966369e-05,
"loss": 0.8088,
"step": 20
},
{
"epoch": 0.008931419457735247,
"grad_norm": 0.46326103806495667,
"learning_rate": 4.123620120825459e-05,
"loss": 0.7963,
"step": 21
},
{
"epoch": 0.00935672514619883,
"grad_norm": 0.4596688449382782,
"learning_rate": 3.969463130731183e-05,
"loss": 0.7968,
"step": 22
},
{
"epoch": 0.009782030834662414,
"grad_norm": 0.4667969346046448,
"learning_rate": 3.8062464117898724e-05,
"loss": 0.8305,
"step": 23
},
{
"epoch": 0.010207336523125997,
"grad_norm": 0.3937626779079437,
"learning_rate": 3.634976249348867e-05,
"loss": 0.7507,
"step": 24
},
{
"epoch": 0.01063264221158958,
"grad_norm": 0.41750970482826233,
"learning_rate": 3.456708580912725e-05,
"loss": 0.785,
"step": 25
},
{
"epoch": 0.011057947900053162,
"grad_norm": 0.415423721075058,
"learning_rate": 3.272542485937369e-05,
"loss": 0.8375,
"step": 26
},
{
"epoch": 0.011057947900053162,
"eval_loss": 0.7622473239898682,
"eval_runtime": 89.8141,
"eval_samples_per_second": 11.023,
"eval_steps_per_second": 5.511,
"step": 26
},
{
"epoch": 0.011483253588516746,
"grad_norm": 0.3313671350479126,
"learning_rate": 3.083613409639764e-05,
"loss": 0.7642,
"step": 27
},
{
"epoch": 0.01190855927698033,
"grad_norm": 0.37808409333229065,
"learning_rate": 2.8910861626005776e-05,
"loss": 0.7655,
"step": 28
},
{
"epoch": 0.012333864965443912,
"grad_norm": 0.3844619691371918,
"learning_rate": 2.6961477393196126e-05,
"loss": 0.8025,
"step": 29
},
{
"epoch": 0.012759170653907496,
"grad_norm": 0.37186184525489807,
"learning_rate": 2.5e-05,
"loss": 0.8364,
"step": 30
},
{
"epoch": 0.01318447634237108,
"grad_norm": 0.310320645570755,
"learning_rate": 2.303852260680388e-05,
"loss": 0.6388,
"step": 31
},
{
"epoch": 0.013609782030834662,
"grad_norm": 0.3105718493461609,
"learning_rate": 2.1089138373994223e-05,
"loss": 0.7279,
"step": 32
},
{
"epoch": 0.014035087719298246,
"grad_norm": 0.3364258110523224,
"learning_rate": 1.9163865903602374e-05,
"loss": 0.7568,
"step": 33
},
{
"epoch": 0.014460393407761828,
"grad_norm": 0.34743359684944153,
"learning_rate": 1.7274575140626318e-05,
"loss": 0.7706,
"step": 34
},
{
"epoch": 0.014885699096225412,
"grad_norm": 0.29443031549453735,
"learning_rate": 1.5432914190872757e-05,
"loss": 0.7154,
"step": 35
},
{
"epoch": 0.015311004784688996,
"grad_norm": 0.3357723653316498,
"learning_rate": 1.3650237506511331e-05,
"loss": 0.752,
"step": 36
},
{
"epoch": 0.01573631047315258,
"grad_norm": 0.2919500470161438,
"learning_rate": 1.1937535882101281e-05,
"loss": 0.7965,
"step": 37
},
{
"epoch": 0.01616161616161616,
"grad_norm": 0.27403074502944946,
"learning_rate": 1.0305368692688174e-05,
"loss": 0.7265,
"step": 38
},
{
"epoch": 0.016586921850079744,
"grad_norm": 0.27928847074508667,
"learning_rate": 8.763798791745411e-06,
"loss": 0.6562,
"step": 39
},
{
"epoch": 0.016586921850079744,
"eval_loss": 0.7195438146591187,
"eval_runtime": 90.1408,
"eval_samples_per_second": 10.983,
"eval_steps_per_second": 5.491,
"step": 39
}
],
"logging_steps": 1,
"max_steps": 50,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 13,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 2.366738559664128e+16,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}