fpadovani's picture
Upload folder using huggingface_hub
6f51129 verified
{
"best_metric": 4.496387481689453,
"best_model_checkpoint": "/home/p318482/babyLM_controlled/models_trained_last/en_wiki_mlm_30/checkpoint-40000",
"epoch": 22.637238256932655,
"eval_steps": 2000,
"global_step": 40000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.1318619128466327,
"eval_loss": 7.872045516967773,
"eval_runtime": 3.9374,
"eval_samples_per_second": 1252.08,
"eval_steps_per_second": 78.477,
"step": 2000
},
{
"epoch": 2.2637238256932655,
"grad_norm": 1.0014455318450928,
"learning_rate": 1e-05,
"loss": 7.9236,
"step": 4000
},
{
"epoch": 2.2637238256932655,
"eval_loss": 7.107393264770508,
"eval_runtime": 3.9376,
"eval_samples_per_second": 1252.036,
"eval_steps_per_second": 78.474,
"step": 4000
},
{
"epoch": 3.395585738539898,
"eval_loss": 7.030406951904297,
"eval_runtime": 3.9404,
"eval_samples_per_second": 1251.146,
"eval_steps_per_second": 78.419,
"step": 6000
},
{
"epoch": 4.527447651386531,
"grad_norm": 1.1162114143371582,
"learning_rate": 2e-05,
"loss": 7.0257,
"step": 8000
},
{
"epoch": 4.527447651386531,
"eval_loss": 6.953151226043701,
"eval_runtime": 4.0906,
"eval_samples_per_second": 1205.208,
"eval_steps_per_second": 75.539,
"step": 8000
},
{
"epoch": 5.659309564233164,
"eval_loss": 6.87604284286499,
"eval_runtime": 3.912,
"eval_samples_per_second": 1260.235,
"eval_steps_per_second": 78.988,
"step": 10000
},
{
"epoch": 6.791171477079796,
"grad_norm": 1.346594214439392,
"learning_rate": 3e-05,
"loss": 6.8811,
"step": 12000
},
{
"epoch": 6.791171477079796,
"eval_loss": 6.811014175415039,
"eval_runtime": 3.951,
"eval_samples_per_second": 1247.773,
"eval_steps_per_second": 78.207,
"step": 12000
},
{
"epoch": 7.923033389926429,
"eval_loss": 6.731590747833252,
"eval_runtime": 3.8635,
"eval_samples_per_second": 1276.05,
"eval_steps_per_second": 79.98,
"step": 14000
},
{
"epoch": 9.054895302773062,
"grad_norm": 1.458003044128418,
"learning_rate": 4e-05,
"loss": 6.7587,
"step": 16000
},
{
"epoch": 9.054895302773062,
"eval_loss": 6.689206600189209,
"eval_runtime": 3.8397,
"eval_samples_per_second": 1283.96,
"eval_steps_per_second": 80.475,
"step": 16000
},
{
"epoch": 10.186757215619695,
"eval_loss": 6.650099754333496,
"eval_runtime": 3.9002,
"eval_samples_per_second": 1264.041,
"eval_steps_per_second": 79.227,
"step": 18000
},
{
"epoch": 11.318619128466327,
"grad_norm": 1.5871217250823975,
"learning_rate": 5e-05,
"loss": 6.6566,
"step": 20000
},
{
"epoch": 11.318619128466327,
"eval_loss": 6.595088958740234,
"eval_runtime": 3.9235,
"eval_samples_per_second": 1256.533,
"eval_steps_per_second": 78.756,
"step": 20000
},
{
"epoch": 12.45048104131296,
"eval_loss": 6.525483131408691,
"eval_runtime": 3.8651,
"eval_samples_per_second": 1275.512,
"eval_steps_per_second": 79.946,
"step": 22000
},
{
"epoch": 13.582342954159593,
"grad_norm": 2.502711296081543,
"learning_rate": 6e-05,
"loss": 6.546,
"step": 24000
},
{
"epoch": 13.582342954159593,
"eval_loss": 6.440639972686768,
"eval_runtime": 3.8611,
"eval_samples_per_second": 1276.85,
"eval_steps_per_second": 80.03,
"step": 24000
},
{
"epoch": 14.714204867006226,
"eval_loss": 6.316535472869873,
"eval_runtime": 3.8871,
"eval_samples_per_second": 1268.291,
"eval_steps_per_second": 79.493,
"step": 26000
},
{
"epoch": 15.846066779852858,
"grad_norm": 4.2022857666015625,
"learning_rate": 7e-05,
"loss": 6.3494,
"step": 28000
},
{
"epoch": 15.846066779852858,
"eval_loss": 6.149945259094238,
"eval_runtime": 3.9074,
"eval_samples_per_second": 1261.705,
"eval_steps_per_second": 79.081,
"step": 28000
},
{
"epoch": 16.97792869269949,
"eval_loss": 5.94103479385376,
"eval_runtime": 3.8837,
"eval_samples_per_second": 1269.393,
"eval_steps_per_second": 79.562,
"step": 30000
},
{
"epoch": 18.109790605546124,
"grad_norm": 4.1835408210754395,
"learning_rate": 8e-05,
"loss": 6.0156,
"step": 32000
},
{
"epoch": 18.109790605546124,
"eval_loss": 5.63771390914917,
"eval_runtime": 3.9903,
"eval_samples_per_second": 1235.504,
"eval_steps_per_second": 77.438,
"step": 32000
},
{
"epoch": 19.241652518392755,
"eval_loss": 5.117396354675293,
"eval_runtime": 3.9867,
"eval_samples_per_second": 1236.617,
"eval_steps_per_second": 77.508,
"step": 34000
},
{
"epoch": 20.37351443123939,
"grad_norm": 3.6266136169433594,
"learning_rate": 9e-05,
"loss": 5.2999,
"step": 36000
},
{
"epoch": 20.37351443123939,
"eval_loss": 4.855127811431885,
"eval_runtime": 3.8488,
"eval_samples_per_second": 1280.914,
"eval_steps_per_second": 80.284,
"step": 36000
},
{
"epoch": 21.50537634408602,
"eval_loss": 4.6650190353393555,
"eval_runtime": 3.8768,
"eval_samples_per_second": 1271.655,
"eval_steps_per_second": 79.704,
"step": 38000
},
{
"epoch": 22.637238256932655,
"grad_norm": 3.870995044708252,
"learning_rate": 0.0001,
"loss": 4.7633,
"step": 40000
},
{
"epoch": 22.637238256932655,
"eval_loss": 4.496387481689453,
"eval_runtime": 3.9179,
"eval_samples_per_second": 1258.325,
"eval_steps_per_second": 78.869,
"step": 40000
}
],
"logging_steps": 4000,
"max_steps": 100000,
"num_input_tokens_seen": 0,
"num_train_epochs": 57,
"save_steps": 4000,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 1.2476180458635264e+16,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}