Saini-Manisha's picture
End of training
bda073f verified
{
"best_metric": 0.9285714285714286,
"best_model_checkpoint": "videomae-base-finetuned-ucf101-subset/checkpoint-95",
"epoch": 7.101351351351352,
"eval_steps": 500,
"global_step": 148,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.07,
"learning_rate": 3.3333333333333335e-05,
"loss": 2.3295,
"step": 10
},
{
"epoch": 0.13,
"eval_accuracy": 0.3,
"eval_loss": 2.117830514907837,
"eval_runtime": 48.0965,
"eval_samples_per_second": 1.455,
"eval_steps_per_second": 0.104,
"step": 19
},
{
"epoch": 1.01,
"learning_rate": 4.81203007518797e-05,
"loss": 2.2263,
"step": 20
},
{
"epoch": 1.07,
"learning_rate": 4.43609022556391e-05,
"loss": 1.991,
"step": 30
},
{
"epoch": 1.13,
"eval_accuracy": 0.5142857142857142,
"eval_loss": 1.5623936653137207,
"eval_runtime": 48.3785,
"eval_samples_per_second": 1.447,
"eval_steps_per_second": 0.103,
"step": 38
},
{
"epoch": 2.01,
"learning_rate": 4.0601503759398494e-05,
"loss": 1.6098,
"step": 40
},
{
"epoch": 2.08,
"learning_rate": 3.6842105263157895e-05,
"loss": 1.227,
"step": 50
},
{
"epoch": 2.13,
"eval_accuracy": 0.7714285714285715,
"eval_loss": 0.8620532155036926,
"eval_runtime": 48.4173,
"eval_samples_per_second": 1.446,
"eval_steps_per_second": 0.103,
"step": 57
},
{
"epoch": 3.02,
"learning_rate": 3.3082706766917295e-05,
"loss": 0.8221,
"step": 60
},
{
"epoch": 3.09,
"learning_rate": 2.9323308270676693e-05,
"loss": 0.5665,
"step": 70
},
{
"epoch": 3.13,
"eval_accuracy": 0.8,
"eval_loss": 0.6211545467376709,
"eval_runtime": 48.0404,
"eval_samples_per_second": 1.457,
"eval_steps_per_second": 0.104,
"step": 76
},
{
"epoch": 4.03,
"learning_rate": 2.556390977443609e-05,
"loss": 0.4292,
"step": 80
},
{
"epoch": 4.09,
"learning_rate": 2.1804511278195487e-05,
"loss": 0.3487,
"step": 90
},
{
"epoch": 4.13,
"eval_accuracy": 0.9285714285714286,
"eval_loss": 0.35538002848625183,
"eval_runtime": 48.0249,
"eval_samples_per_second": 1.458,
"eval_steps_per_second": 0.104,
"step": 95
},
{
"epoch": 5.03,
"learning_rate": 1.8045112781954888e-05,
"loss": 0.2808,
"step": 100
},
{
"epoch": 5.1,
"learning_rate": 1.4285714285714285e-05,
"loss": 0.1701,
"step": 110
},
{
"epoch": 5.13,
"eval_accuracy": 0.8857142857142857,
"eval_loss": 0.35967761278152466,
"eval_runtime": 47.9921,
"eval_samples_per_second": 1.459,
"eval_steps_per_second": 0.104,
"step": 114
},
{
"epoch": 6.04,
"learning_rate": 1.0526315789473684e-05,
"loss": 0.1586,
"step": 120
},
{
"epoch": 6.11,
"learning_rate": 6.766917293233083e-06,
"loss": 0.1036,
"step": 130
},
{
"epoch": 6.13,
"eval_accuracy": 0.9285714285714286,
"eval_loss": 0.22771558165550232,
"eval_runtime": 47.9689,
"eval_samples_per_second": 1.459,
"eval_steps_per_second": 0.104,
"step": 133
},
{
"epoch": 7.05,
"learning_rate": 3.007518796992481e-06,
"loss": 0.089,
"step": 140
},
{
"epoch": 7.1,
"eval_accuracy": 0.9142857142857143,
"eval_loss": 0.19885921478271484,
"eval_runtime": 48.0247,
"eval_samples_per_second": 1.458,
"eval_steps_per_second": 0.104,
"step": 148
},
{
"epoch": 7.1,
"step": 148,
"total_flos": 2.915999166844109e+18,
"train_loss": 0.8383703630518269,
"train_runtime": 4135.2767,
"train_samples_per_second": 0.573,
"train_steps_per_second": 0.036
},
{
"epoch": 7.1,
"eval_accuracy": 0.8709677419354839,
"eval_loss": 0.4110705554485321,
"eval_runtime": 106.5714,
"eval_samples_per_second": 1.454,
"eval_steps_per_second": 0.094,
"step": 148
},
{
"epoch": 7.1,
"eval_accuracy": 0.8709677419354839,
"eval_loss": 0.4110705554485321,
"eval_runtime": 107.0152,
"eval_samples_per_second": 1.448,
"eval_steps_per_second": 0.093,
"step": 148
}
],
"logging_steps": 10,
"max_steps": 148,
"num_input_tokens_seen": 0,
"num_train_epochs": 9223372036854775807,
"save_steps": 500,
"total_flos": 2.915999166844109e+18,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}