oldiday's picture
Training in progress, step 99, checkpoint
abe8ccd verified
raw
history blame
8.97 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.2302325581395349,
"eval_steps": 9,
"global_step": 99,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.002325581395348837,
"eval_loss": 5.892056941986084,
"eval_runtime": 19.7546,
"eval_samples_per_second": 36.65,
"eval_steps_per_second": 4.607,
"step": 1
},
{
"epoch": 0.0069767441860465115,
"grad_norm": 3.488095760345459,
"learning_rate": 1.5e-05,
"loss": 5.9292,
"step": 3
},
{
"epoch": 0.013953488372093023,
"grad_norm": 2.8731729984283447,
"learning_rate": 3e-05,
"loss": 5.7853,
"step": 6
},
{
"epoch": 0.020930232558139535,
"grad_norm": 4.2616777420043945,
"learning_rate": 4.5e-05,
"loss": 5.9753,
"step": 9
},
{
"epoch": 0.020930232558139535,
"eval_loss": 5.681079387664795,
"eval_runtime": 19.8386,
"eval_samples_per_second": 36.494,
"eval_steps_per_second": 4.587,
"step": 9
},
{
"epoch": 0.027906976744186046,
"grad_norm": 4.38749361038208,
"learning_rate": 4.993910125649561e-05,
"loss": 5.632,
"step": 12
},
{
"epoch": 0.03488372093023256,
"grad_norm": 4.592843055725098,
"learning_rate": 4.962019382530521e-05,
"loss": 4.9077,
"step": 15
},
{
"epoch": 0.04186046511627907,
"grad_norm": 4.174410820007324,
"learning_rate": 4.9031542398457974e-05,
"loss": 4.5093,
"step": 18
},
{
"epoch": 0.04186046511627907,
"eval_loss": 4.481910705566406,
"eval_runtime": 19.8608,
"eval_samples_per_second": 36.454,
"eval_steps_per_second": 4.582,
"step": 18
},
{
"epoch": 0.04883720930232558,
"grad_norm": 4.76424503326416,
"learning_rate": 4.817959636416969e-05,
"loss": 4.4965,
"step": 21
},
{
"epoch": 0.05581395348837209,
"grad_norm": 4.088315963745117,
"learning_rate": 4.707368982147318e-05,
"loss": 3.9977,
"step": 24
},
{
"epoch": 0.06279069767441861,
"grad_norm": 3.9060111045837402,
"learning_rate": 4.572593931387604e-05,
"loss": 3.9268,
"step": 27
},
{
"epoch": 0.06279069767441861,
"eval_loss": 3.678138256072998,
"eval_runtime": 19.8735,
"eval_samples_per_second": 36.43,
"eval_steps_per_second": 4.579,
"step": 27
},
{
"epoch": 0.06976744186046512,
"grad_norm": 4.486081123352051,
"learning_rate": 4.415111107797445e-05,
"loss": 3.6693,
"step": 30
},
{
"epoch": 0.07674418604651163,
"grad_norm": 3.4287188053131104,
"learning_rate": 4.2366459261474933e-05,
"loss": 3.0881,
"step": 33
},
{
"epoch": 0.08372093023255814,
"grad_norm": 3.1772103309631348,
"learning_rate": 4.039153688314145e-05,
"loss": 3.2421,
"step": 36
},
{
"epoch": 0.08372093023255814,
"eval_loss": 3.141343832015991,
"eval_runtime": 19.8825,
"eval_samples_per_second": 36.414,
"eval_steps_per_second": 4.577,
"step": 36
},
{
"epoch": 0.09069767441860466,
"grad_norm": 3.955404758453369,
"learning_rate": 3.824798160583012e-05,
"loss": 3.0893,
"step": 39
},
{
"epoch": 0.09767441860465116,
"grad_norm": 3.391456365585327,
"learning_rate": 3.5959278669726935e-05,
"loss": 2.924,
"step": 42
},
{
"epoch": 0.10465116279069768,
"grad_norm": 3.183100461959839,
"learning_rate": 3.355050358314172e-05,
"loss": 2.8891,
"step": 45
},
{
"epoch": 0.10465116279069768,
"eval_loss": 2.8821494579315186,
"eval_runtime": 19.8866,
"eval_samples_per_second": 36.406,
"eval_steps_per_second": 4.576,
"step": 45
},
{
"epoch": 0.11162790697674418,
"grad_norm": 3.60516095161438,
"learning_rate": 3.104804738999169e-05,
"loss": 2.7192,
"step": 48
},
{
"epoch": 0.1186046511627907,
"grad_norm": 3.239312171936035,
"learning_rate": 2.8479327524001636e-05,
"loss": 2.7269,
"step": 51
},
{
"epoch": 0.12558139534883722,
"grad_norm": 2.7312939167022705,
"learning_rate": 2.587248741756253e-05,
"loss": 2.6379,
"step": 54
},
{
"epoch": 0.12558139534883722,
"eval_loss": 2.7178566455841064,
"eval_runtime": 19.8989,
"eval_samples_per_second": 36.384,
"eval_steps_per_second": 4.573,
"step": 54
},
{
"epoch": 0.1325581395348837,
"grad_norm": 3.0902271270751953,
"learning_rate": 2.3256088156396868e-05,
"loss": 2.8834,
"step": 57
},
{
"epoch": 0.13953488372093023,
"grad_norm": 2.8137857913970947,
"learning_rate": 2.0658795558326743e-05,
"loss": 2.5538,
"step": 60
},
{
"epoch": 0.14651162790697675,
"grad_norm": 2.7316954135894775,
"learning_rate": 1.8109066104575023e-05,
"loss": 2.5681,
"step": 63
},
{
"epoch": 0.14651162790697675,
"eval_loss": 2.624565601348877,
"eval_runtime": 19.8773,
"eval_samples_per_second": 36.423,
"eval_steps_per_second": 4.578,
"step": 63
},
{
"epoch": 0.15348837209302327,
"grad_norm": 2.953460693359375,
"learning_rate": 1.56348351646022e-05,
"loss": 2.3964,
"step": 66
},
{
"epoch": 0.16046511627906976,
"grad_norm": 2.805899143218994,
"learning_rate": 1.3263210930352737e-05,
"loss": 2.4172,
"step": 69
},
{
"epoch": 0.16744186046511628,
"grad_norm": 3.291818857192993,
"learning_rate": 1.1020177413231334e-05,
"loss": 2.522,
"step": 72
},
{
"epoch": 0.16744186046511628,
"eval_loss": 2.5648176670074463,
"eval_runtime": 19.8785,
"eval_samples_per_second": 36.421,
"eval_steps_per_second": 4.578,
"step": 72
},
{
"epoch": 0.1744186046511628,
"grad_norm": 2.5910260677337646,
"learning_rate": 8.930309757836517e-06,
"loss": 2.7511,
"step": 75
},
{
"epoch": 0.1813953488372093,
"grad_norm": 2.6901168823242188,
"learning_rate": 7.016504991533726e-06,
"loss": 2.6676,
"step": 78
},
{
"epoch": 0.1883720930232558,
"grad_norm": 2.912105083465576,
"learning_rate": 5.299731159831953e-06,
"loss": 2.5736,
"step": 81
},
{
"epoch": 0.1883720930232558,
"eval_loss": 2.537811517715454,
"eval_runtime": 19.8766,
"eval_samples_per_second": 36.425,
"eval_steps_per_second": 4.578,
"step": 81
},
{
"epoch": 0.19534883720930232,
"grad_norm": 2.613006830215454,
"learning_rate": 3.798797596089351e-06,
"loss": 2.3515,
"step": 84
},
{
"epoch": 0.20232558139534884,
"grad_norm": 3.0070550441741943,
"learning_rate": 2.5301488425208296e-06,
"loss": 2.6264,
"step": 87
},
{
"epoch": 0.20930232558139536,
"grad_norm": 2.684951066970825,
"learning_rate": 1.5076844803522922e-06,
"loss": 2.4758,
"step": 90
},
{
"epoch": 0.20930232558139536,
"eval_loss": 2.527015447616577,
"eval_runtime": 19.8758,
"eval_samples_per_second": 36.426,
"eval_steps_per_second": 4.578,
"step": 90
},
{
"epoch": 0.21627906976744185,
"grad_norm": 3.2055976390838623,
"learning_rate": 7.426068431000882e-07,
"loss": 2.673,
"step": 93
},
{
"epoch": 0.22325581395348837,
"grad_norm": 2.951667308807373,
"learning_rate": 2.4329828146074095e-07,
"loss": 2.5266,
"step": 96
},
{
"epoch": 0.2302325581395349,
"grad_norm": 2.4879679679870605,
"learning_rate": 1.522932452260595e-08,
"loss": 2.4875,
"step": 99
},
{
"epoch": 0.2302325581395349,
"eval_loss": 2.5238454341888428,
"eval_runtime": 19.9264,
"eval_samples_per_second": 36.334,
"eval_steps_per_second": 4.567,
"step": 99
}
],
"logging_steps": 3,
"max_steps": 100,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 9,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 2.586412296909619e+16,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}