videomae-base-finetuned-soccer / trainer_state.json
ahmedr996's picture
Training in progress, epoch 1
72d8876 verified
{
"best_metric": 0.5654115080833435,
"best_model_checkpoint": "videomae-base-finetuned-soccer\\checkpoint-91",
"epoch": 7.384615384615385,
"eval_steps": 500,
"global_step": 96,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.7692307692307693,
"grad_norm": 6.056818008422852,
"learning_rate": 5e-05,
"loss": 1.018,
"step": 10
},
{
"epoch": 1.0,
"eval_accuracy": 0.5,
"eval_loss": 0.9591365456581116,
"eval_runtime": 14.481,
"eval_samples_per_second": 0.829,
"eval_steps_per_second": 0.138,
"step": 13
},
{
"epoch": 1.5384615384615383,
"grad_norm": 8.351778984069824,
"learning_rate": 4.418604651162791e-05,
"loss": 0.8837,
"step": 20
},
{
"epoch": 2.0,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 1.0247520208358765,
"eval_runtime": 14.6436,
"eval_samples_per_second": 0.819,
"eval_steps_per_second": 0.137,
"step": 26
},
{
"epoch": 2.3076923076923075,
"grad_norm": 6.016116619110107,
"learning_rate": 3.837209302325582e-05,
"loss": 0.7304,
"step": 30
},
{
"epoch": 3.0,
"eval_accuracy": 0.5,
"eval_loss": 0.9564730525016785,
"eval_runtime": 14.229,
"eval_samples_per_second": 0.843,
"eval_steps_per_second": 0.141,
"step": 39
},
{
"epoch": 3.076923076923077,
"grad_norm": 7.938284397125244,
"learning_rate": 3.2558139534883724e-05,
"loss": 0.7537,
"step": 40
},
{
"epoch": 3.8461538461538463,
"grad_norm": 4.581155300140381,
"learning_rate": 2.674418604651163e-05,
"loss": 0.6652,
"step": 50
},
{
"epoch": 4.0,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 0.7660763263702393,
"eval_runtime": 14.1514,
"eval_samples_per_second": 0.848,
"eval_steps_per_second": 0.141,
"step": 52
},
{
"epoch": 4.615384615384615,
"grad_norm": 8.447895050048828,
"learning_rate": 2.0930232558139536e-05,
"loss": 0.4719,
"step": 60
},
{
"epoch": 5.0,
"eval_accuracy": 0.6666666666666666,
"eval_loss": 0.9185061454772949,
"eval_runtime": 14.4168,
"eval_samples_per_second": 0.832,
"eval_steps_per_second": 0.139,
"step": 65
},
{
"epoch": 5.384615384615385,
"grad_norm": 9.912740707397461,
"learning_rate": 1.5116279069767441e-05,
"loss": 0.5202,
"step": 70
},
{
"epoch": 6.0,
"eval_accuracy": 0.6666666666666666,
"eval_loss": 0.7269230484962463,
"eval_runtime": 14.2101,
"eval_samples_per_second": 0.844,
"eval_steps_per_second": 0.141,
"step": 78
},
{
"epoch": 6.153846153846154,
"grad_norm": 20.169536590576172,
"learning_rate": 9.302325581395349e-06,
"loss": 0.4159,
"step": 80
},
{
"epoch": 6.923076923076923,
"grad_norm": 5.597208499908447,
"learning_rate": 3.488372093023256e-06,
"loss": 0.3601,
"step": 90
},
{
"epoch": 7.0,
"eval_accuracy": 0.75,
"eval_loss": 0.5654115080833435,
"eval_runtime": 14.3617,
"eval_samples_per_second": 0.836,
"eval_steps_per_second": 0.139,
"step": 91
},
{
"epoch": 7.384615384615385,
"eval_accuracy": 0.75,
"eval_loss": 0.5665368437767029,
"eval_runtime": 15.0544,
"eval_samples_per_second": 0.797,
"eval_steps_per_second": 0.133,
"step": 96
},
{
"epoch": 7.384615384615385,
"step": 96,
"total_flos": 8.959284297745367e+17,
"train_loss": 0.6283697237571081,
"train_runtime": 4534.7888,
"train_samples_per_second": 0.169,
"train_steps_per_second": 0.021
},
{
"epoch": 7.384615384615385,
"eval_accuracy": 0.6086956521739131,
"eval_loss": 0.8741648197174072,
"eval_runtime": 25.876,
"eval_samples_per_second": 0.889,
"eval_steps_per_second": 0.116,
"step": 96
}
],
"logging_steps": 10,
"max_steps": 96,
"num_input_tokens_seen": 0,
"num_train_epochs": 8,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 8.959284297745367e+17,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}