thomnis's picture
Training in progress, step 4452
c50dd35 verified
raw
history blame
6.66 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 14.0,
"eval_steps": 500,
"global_step": 4452,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.9968553459119497,
"grad_norm": 0.3429218530654907,
"learning_rate": 0.00019453796448455724,
"loss": 0.2573,
"step": 317
},
{
"epoch": 1.0,
"eval_accuracy": 0.8848387096774194,
"eval_loss": 0.05875122919678688,
"eval_runtime": 2.6188,
"eval_samples_per_second": 1183.755,
"eval_steps_per_second": 24.821,
"step": 318
},
{
"epoch": 1.9937106918238994,
"grad_norm": 0.2231501191854477,
"learning_rate": 0.00017962417131851016,
"loss": 0.0475,
"step": 634
},
{
"epoch": 2.0,
"eval_accuracy": 0.9248387096774193,
"eval_loss": 0.033762380480766296,
"eval_runtime": 2.6039,
"eval_samples_per_second": 1190.545,
"eval_steps_per_second": 24.963,
"step": 636
},
{
"epoch": 2.990566037735849,
"grad_norm": 0.20701543986797333,
"learning_rate": 0.00016471037815246308,
"loss": 0.0305,
"step": 951
},
{
"epoch": 3.0,
"eval_accuracy": 0.9387096774193548,
"eval_loss": 0.025485960766673088,
"eval_runtime": 2.6072,
"eval_samples_per_second": 1189.026,
"eval_steps_per_second": 24.931,
"step": 954
},
{
"epoch": 3.9874213836477987,
"grad_norm": 0.2078278660774231,
"learning_rate": 0.00014979658498641602,
"loss": 0.0242,
"step": 1268
},
{
"epoch": 4.0,
"eval_accuracy": 0.9412903225806452,
"eval_loss": 0.024921948090195656,
"eval_runtime": 2.6163,
"eval_samples_per_second": 1184.865,
"eval_steps_per_second": 24.844,
"step": 1272
},
{
"epoch": 4.984276729559748,
"grad_norm": 0.09209390729665756,
"learning_rate": 0.00013488279182036894,
"loss": 0.0213,
"step": 1585
},
{
"epoch": 5.0,
"eval_accuracy": 0.9454838709677419,
"eval_loss": 0.021658778190612793,
"eval_runtime": 2.6077,
"eval_samples_per_second": 1188.789,
"eval_steps_per_second": 24.926,
"step": 1590
},
{
"epoch": 5.981132075471698,
"grad_norm": 0.07631496340036392,
"learning_rate": 0.00011996899865432188,
"loss": 0.0191,
"step": 1902
},
{
"epoch": 6.0,
"eval_accuracy": 0.9435483870967742,
"eval_loss": 0.021196924149990082,
"eval_runtime": 2.6236,
"eval_samples_per_second": 1181.597,
"eval_steps_per_second": 24.775,
"step": 1908
},
{
"epoch": 6.977987421383648,
"grad_norm": 0.06425660103559494,
"learning_rate": 0.0001050552054882748,
"loss": 0.0176,
"step": 2219
},
{
"epoch": 7.0,
"eval_accuracy": 0.9493548387096774,
"eval_loss": 0.019918320700526237,
"eval_runtime": 2.6075,
"eval_samples_per_second": 1188.867,
"eval_steps_per_second": 24.928,
"step": 2226
},
{
"epoch": 7.9748427672955975,
"grad_norm": 0.0663381814956665,
"learning_rate": 9.014141232222773e-05,
"loss": 0.0165,
"step": 2536
},
{
"epoch": 8.0,
"eval_accuracy": 0.9490322580645161,
"eval_loss": 0.019041651859879494,
"eval_runtime": 2.6053,
"eval_samples_per_second": 1189.869,
"eval_steps_per_second": 24.949,
"step": 2544
},
{
"epoch": 8.971698113207546,
"grad_norm": 0.0676058828830719,
"learning_rate": 7.522761915618066e-05,
"loss": 0.0156,
"step": 2853
},
{
"epoch": 9.0,
"eval_accuracy": 0.9487096774193549,
"eval_loss": 0.018456541001796722,
"eval_runtime": 2.6235,
"eval_samples_per_second": 1181.605,
"eval_steps_per_second": 24.776,
"step": 2862
},
{
"epoch": 9.968553459119496,
"grad_norm": 0.062172286212444305,
"learning_rate": 6.031382599013358e-05,
"loss": 0.0148,
"step": 3170
},
{
"epoch": 10.0,
"eval_accuracy": 0.947741935483871,
"eval_loss": 0.01798408292233944,
"eval_runtime": 2.6268,
"eval_samples_per_second": 1180.13,
"eval_steps_per_second": 24.745,
"step": 3180
},
{
"epoch": 10.965408805031446,
"grad_norm": 0.0584622323513031,
"learning_rate": 4.5400032824086506e-05,
"loss": 0.0141,
"step": 3487
},
{
"epoch": 11.0,
"eval_accuracy": 0.9503225806451613,
"eval_loss": 0.017367394641041756,
"eval_runtime": 2.6152,
"eval_samples_per_second": 1185.368,
"eval_steps_per_second": 24.854,
"step": 3498
},
{
"epoch": 11.962264150943396,
"grad_norm": 0.05319051072001457,
"learning_rate": 3.048623965803944e-05,
"loss": 0.0135,
"step": 3804
},
{
"epoch": 12.0,
"eval_accuracy": 0.9493548387096774,
"eval_loss": 0.017015676945447922,
"eval_runtime": 2.5922,
"eval_samples_per_second": 1195.915,
"eval_steps_per_second": 25.076,
"step": 3816
},
{
"epoch": 12.959119496855346,
"grad_norm": 0.05101251229643822,
"learning_rate": 1.5572446491992368e-05,
"loss": 0.013,
"step": 4121
},
{
"epoch": 13.0,
"eval_accuracy": 0.9493548387096774,
"eval_loss": 0.016792386770248413,
"eval_runtime": 2.6169,
"eval_samples_per_second": 1184.591,
"eval_steps_per_second": 24.838,
"step": 4134
},
{
"epoch": 13.955974842767295,
"grad_norm": 0.04865499958395958,
"learning_rate": 6.586533259452965e-07,
"loss": 0.0126,
"step": 4438
}
],
"logging_steps": 317,
"max_steps": 4452,
"num_input_tokens_seen": 0,
"num_train_epochs": 14,
"save_steps": 1000000000.0,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1154143441198440.0,
"train_batch_size": 48,
"trial_name": null,
"trial_params": {
"alpha": 0.34251596991370203,
"fp16": false,
"learning_rate": 0.00020126563774242704,
"lr_scheduler": "cosine",
"num_train_epochs": 14,
"temperature": 10,
"warmup_steps": 174,
"weight_decay": 0.1646286765476401
}
}