|
{ |
|
"best_metric": 0.24390243902439024, |
|
"best_model_checkpoint": "google/vivit-b-16x2-kinetics400-finetuned-caer-subset\\checkpoint-350", |
|
"epoch": 1.44, |
|
"eval_steps": 500, |
|
"global_step": 350, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.03, |
|
"grad_norm": 19.33121109008789, |
|
"learning_rate": 1.4285714285714285e-05, |
|
"loss": 2.0053, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"grad_norm": 21.907333374023438, |
|
"learning_rate": 2.857142857142857e-05, |
|
"loss": 2.0683, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"grad_norm": 20.9775333404541, |
|
"learning_rate": 4.2857142857142856e-05, |
|
"loss": 2.1121, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"grad_norm": 23.942533493041992, |
|
"learning_rate": 4.9206349206349204e-05, |
|
"loss": 2.0314, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"grad_norm": 19.405336380004883, |
|
"learning_rate": 4.761904761904762e-05, |
|
"loss": 2.0158, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.17, |
|
"grad_norm": 20.04143714904785, |
|
"learning_rate": 4.603174603174603e-05, |
|
"loss": 2.0462, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"grad_norm": 18.069730758666992, |
|
"learning_rate": 4.4444444444444447e-05, |
|
"loss": 1.9249, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.23, |
|
"grad_norm": 17.35310935974121, |
|
"learning_rate": 4.2857142857142856e-05, |
|
"loss": 2.0913, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"grad_norm": 19.297367095947266, |
|
"learning_rate": 4.126984126984127e-05, |
|
"loss": 2.0567, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"grad_norm": 15.96094036102295, |
|
"learning_rate": 3.968253968253968e-05, |
|
"loss": 1.9516, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.31, |
|
"grad_norm": 14.673310279846191, |
|
"learning_rate": 3.809523809523809e-05, |
|
"loss": 2.2487, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.34, |
|
"grad_norm": 15.799952507019043, |
|
"learning_rate": 3.650793650793651e-05, |
|
"loss": 2.0393, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.37, |
|
"grad_norm": 15.999563217163086, |
|
"learning_rate": 3.492063492063492e-05, |
|
"loss": 2.0529, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"grad_norm": 15.708507537841797, |
|
"learning_rate": 3.3333333333333335e-05, |
|
"loss": 1.9125, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.43, |
|
"grad_norm": 15.592299461364746, |
|
"learning_rate": 3.1746031746031745e-05, |
|
"loss": 2.0613, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.46, |
|
"grad_norm": 16.829734802246094, |
|
"learning_rate": 3.0158730158730158e-05, |
|
"loss": 2.0227, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.49, |
|
"grad_norm": 14.447635650634766, |
|
"learning_rate": 2.857142857142857e-05, |
|
"loss": 1.8975, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"grad_norm": 15.35761833190918, |
|
"learning_rate": 2.6984126984126984e-05, |
|
"loss": 1.9479, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"grad_norm": 13.049636840820312, |
|
"learning_rate": 2.5396825396825397e-05, |
|
"loss": 1.8092, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"eval_accuracy": 0.17073170731707318, |
|
"eval_loss": 1.9746465682983398, |
|
"eval_runtime": 100.3202, |
|
"eval_samples_per_second": 0.409, |
|
"eval_steps_per_second": 0.209, |
|
"step": 196 |
|
}, |
|
{ |
|
"epoch": 1.01, |
|
"grad_norm": 11.337438583374023, |
|
"learning_rate": 2.380952380952381e-05, |
|
"loss": 1.7909, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 1.04, |
|
"grad_norm": 17.9540958404541, |
|
"learning_rate": 2.2222222222222223e-05, |
|
"loss": 1.5752, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 1.07, |
|
"grad_norm": 21.31819725036621, |
|
"learning_rate": 2.0634920634920636e-05, |
|
"loss": 1.6633, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 1.1, |
|
"grad_norm": 20.168230056762695, |
|
"learning_rate": 1.9047619047619046e-05, |
|
"loss": 1.5208, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 1.13, |
|
"grad_norm": 19.805814743041992, |
|
"learning_rate": 1.746031746031746e-05, |
|
"loss": 1.6649, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 1.15, |
|
"grad_norm": 15.015875816345215, |
|
"learning_rate": 1.5873015873015872e-05, |
|
"loss": 1.6386, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 1.18, |
|
"grad_norm": 16.992019653320312, |
|
"learning_rate": 1.4285714285714285e-05, |
|
"loss": 1.596, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 1.21, |
|
"grad_norm": 23.03261947631836, |
|
"learning_rate": 1.2698412698412699e-05, |
|
"loss": 1.7409, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 1.24, |
|
"grad_norm": 15.26242446899414, |
|
"learning_rate": 1.1111111111111112e-05, |
|
"loss": 1.741, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 1.27, |
|
"grad_norm": 15.778162002563477, |
|
"learning_rate": 9.523809523809523e-06, |
|
"loss": 1.4856, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 1.3, |
|
"grad_norm": 17.042863845825195, |
|
"learning_rate": 7.936507936507936e-06, |
|
"loss": 1.6621, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"grad_norm": 13.777763366699219, |
|
"learning_rate": 6.349206349206349e-06, |
|
"loss": 1.6578, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 1.35, |
|
"grad_norm": 19.213926315307617, |
|
"learning_rate": 4.7619047619047615e-06, |
|
"loss": 1.6702, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 1.38, |
|
"grad_norm": 18.964433670043945, |
|
"learning_rate": 3.1746031746031746e-06, |
|
"loss": 1.7152, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 1.41, |
|
"grad_norm": 16.059499740600586, |
|
"learning_rate": 1.5873015873015873e-06, |
|
"loss": 1.6965, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 1.44, |
|
"grad_norm": 19.16345977783203, |
|
"learning_rate": 0.0, |
|
"loss": 1.4353, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 1.44, |
|
"eval_accuracy": 0.24390243902439024, |
|
"eval_loss": 1.8479658365249634, |
|
"eval_runtime": 99.2431, |
|
"eval_samples_per_second": 0.413, |
|
"eval_steps_per_second": 0.212, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 1.44, |
|
"step": 350, |
|
"total_flos": 1.7909488009738322e+18, |
|
"train_loss": 1.844291558946882, |
|
"train_runtime": 2641.0626, |
|
"train_samples_per_second": 0.265, |
|
"train_steps_per_second": 0.133 |
|
}, |
|
{ |
|
"epoch": 1.44, |
|
"eval_accuracy": 0.23300970873786409, |
|
"eval_loss": 1.8412702083587646, |
|
"eval_runtime": 251.1857, |
|
"eval_samples_per_second": 0.41, |
|
"eval_steps_per_second": 0.207, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 1.44, |
|
"eval_accuracy": 0.23300970873786409, |
|
"eval_loss": 1.8412706851959229, |
|
"eval_runtime": 255.9942, |
|
"eval_samples_per_second": 0.402, |
|
"eval_steps_per_second": 0.203, |
|
"step": 350 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 350, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 9223372036854775807, |
|
"save_steps": 500, |
|
"total_flos": 1.7909488009738322e+18, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|