Tommidi's picture
End of training
6cb916b verified
{
"best_metric": 1.0,
"best_model_checkpoint": "st_vit_trained-8epoch-ucf101-subset/checkpoint-76",
"epoch": 7.101351351351352,
"eval_steps": 500,
"global_step": 296,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.03,
"learning_rate": 1.6666666666666667e-05,
"loss": 2.1556,
"step": 10
},
{
"epoch": 0.07,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.6436,
"step": 20
},
{
"epoch": 0.1,
"learning_rate": 5e-05,
"loss": 0.6314,
"step": 30
},
{
"epoch": 0.13,
"eval_accuracy": 0.9333333333333333,
"eval_loss": 0.12640628218650818,
"eval_runtime": 107.3422,
"eval_samples_per_second": 0.279,
"eval_steps_per_second": 0.037,
"step": 38
},
{
"epoch": 1.01,
"learning_rate": 4.81203007518797e-05,
"loss": 0.2368,
"step": 40
},
{
"epoch": 1.04,
"learning_rate": 4.62406015037594e-05,
"loss": 0.2077,
"step": 50
},
{
"epoch": 1.07,
"learning_rate": 4.43609022556391e-05,
"loss": 0.4179,
"step": 60
},
{
"epoch": 1.11,
"learning_rate": 4.24812030075188e-05,
"loss": 0.3547,
"step": 70
},
{
"epoch": 1.13,
"eval_accuracy": 1.0,
"eval_loss": 0.007708676625043154,
"eval_runtime": 109.7958,
"eval_samples_per_second": 0.273,
"eval_steps_per_second": 0.036,
"step": 76
},
{
"epoch": 2.01,
"learning_rate": 4.0601503759398494e-05,
"loss": 0.2593,
"step": 80
},
{
"epoch": 2.05,
"learning_rate": 3.87218045112782e-05,
"loss": 0.1361,
"step": 90
},
{
"epoch": 2.08,
"learning_rate": 3.6842105263157895e-05,
"loss": 0.079,
"step": 100
},
{
"epoch": 2.11,
"learning_rate": 3.49624060150376e-05,
"loss": 0.0189,
"step": 110
},
{
"epoch": 2.13,
"eval_accuracy": 0.9333333333333333,
"eval_loss": 0.510276734828949,
"eval_runtime": 110.2619,
"eval_samples_per_second": 0.272,
"eval_steps_per_second": 0.036,
"step": 114
},
{
"epoch": 3.02,
"learning_rate": 3.3082706766917295e-05,
"loss": 0.0021,
"step": 120
},
{
"epoch": 3.05,
"learning_rate": 3.120300751879699e-05,
"loss": 0.0596,
"step": 130
},
{
"epoch": 3.09,
"learning_rate": 2.9323308270676693e-05,
"loss": 0.0554,
"step": 140
},
{
"epoch": 3.12,
"learning_rate": 2.7443609022556393e-05,
"loss": 0.0611,
"step": 150
},
{
"epoch": 3.13,
"eval_accuracy": 0.9333333333333333,
"eval_loss": 0.15075534582138062,
"eval_runtime": 110.9545,
"eval_samples_per_second": 0.27,
"eval_steps_per_second": 0.036,
"step": 152
},
{
"epoch": 4.03,
"learning_rate": 2.556390977443609e-05,
"loss": 0.219,
"step": 160
},
{
"epoch": 4.06,
"learning_rate": 2.368421052631579e-05,
"loss": 0.1464,
"step": 170
},
{
"epoch": 4.09,
"learning_rate": 2.1804511278195487e-05,
"loss": 0.0131,
"step": 180
},
{
"epoch": 4.13,
"learning_rate": 1.9924812030075188e-05,
"loss": 0.0027,
"step": 190
},
{
"epoch": 4.13,
"eval_accuracy": 1.0,
"eval_loss": 0.0017944329883903265,
"eval_runtime": 111.261,
"eval_samples_per_second": 0.27,
"eval_steps_per_second": 0.036,
"step": 190
},
{
"epoch": 5.03,
"learning_rate": 1.8045112781954888e-05,
"loss": 0.0291,
"step": 200
},
{
"epoch": 5.07,
"learning_rate": 1.6165413533834585e-05,
"loss": 0.0183,
"step": 210
},
{
"epoch": 5.1,
"learning_rate": 1.4285714285714285e-05,
"loss": 0.0812,
"step": 220
},
{
"epoch": 5.13,
"eval_accuracy": 0.9333333333333333,
"eval_loss": 0.0942629873752594,
"eval_runtime": 110.723,
"eval_samples_per_second": 0.271,
"eval_steps_per_second": 0.036,
"step": 228
},
{
"epoch": 6.01,
"learning_rate": 1.2406015037593984e-05,
"loss": 0.0072,
"step": 230
},
{
"epoch": 6.04,
"learning_rate": 1.0526315789473684e-05,
"loss": 0.1462,
"step": 240
},
{
"epoch": 6.07,
"learning_rate": 8.646616541353383e-06,
"loss": 0.1258,
"step": 250
},
{
"epoch": 6.11,
"learning_rate": 6.766917293233083e-06,
"loss": 0.0005,
"step": 260
},
{
"epoch": 6.13,
"eval_accuracy": 0.9666666666666667,
"eval_loss": 0.06345120072364807,
"eval_runtime": 111.1102,
"eval_samples_per_second": 0.27,
"eval_steps_per_second": 0.036,
"step": 266
},
{
"epoch": 7.01,
"learning_rate": 4.887218045112782e-06,
"loss": 0.0017,
"step": 270
},
{
"epoch": 7.05,
"learning_rate": 3.007518796992481e-06,
"loss": 0.0004,
"step": 280
},
{
"epoch": 7.08,
"learning_rate": 1.1278195488721805e-06,
"loss": 0.3035,
"step": 290
},
{
"epoch": 7.1,
"eval_accuracy": 0.9666666666666667,
"eval_loss": 0.05302112549543381,
"eval_runtime": 111.2744,
"eval_samples_per_second": 0.27,
"eval_steps_per_second": 0.036,
"step": 296
},
{
"epoch": 7.1,
"step": 296,
"total_flos": 0.0,
"train_loss": 0.21684430856918413,
"train_runtime": 10490.4185,
"train_samples_per_second": 0.226,
"train_steps_per_second": 0.028
},
{
"epoch": 7.1,
"eval_accuracy": 0.9733333333333334,
"eval_loss": 0.06482689082622528,
"eval_runtime": 274.5585,
"eval_samples_per_second": 0.273,
"eval_steps_per_second": 0.036,
"step": 296
}
],
"logging_steps": 10,
"max_steps": 296,
"num_input_tokens_seen": 0,
"num_train_epochs": 9223372036854775807,
"save_steps": 500,
"total_flos": 0.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}