ruanwz's picture
Upload folder using huggingface_hub
87393e5 verified
{
"best_metric": 0.26321205496788025,
"best_model_checkpoint": "autotrain-prj-image-classification-for-slides/checkpoint-48",
"epoch": 4.0,
"eval_steps": 500,
"global_step": 48,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.08,
"learning_rate": 4.166666666666667e-06,
"loss": 0.8158,
"step": 1
},
{
"epoch": 0.17,
"learning_rate": 4.166666666666667e-06,
"loss": 0.7927,
"step": 2
},
{
"epoch": 0.25,
"learning_rate": 8.333333333333334e-06,
"loss": 0.8798,
"step": 3
},
{
"epoch": 0.33,
"learning_rate": 1.25e-05,
"loss": 0.8946,
"step": 4
},
{
"epoch": 0.42,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.735,
"step": 5
},
{
"epoch": 0.5,
"learning_rate": 2.0833333333333336e-05,
"loss": 0.5985,
"step": 6
},
{
"epoch": 0.58,
"learning_rate": 2.5e-05,
"loss": 0.5549,
"step": 7
},
{
"epoch": 0.67,
"learning_rate": 2.916666666666667e-05,
"loss": 0.3827,
"step": 8
},
{
"epoch": 0.75,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.5742,
"step": 9
},
{
"epoch": 0.83,
"learning_rate": 3.7500000000000003e-05,
"loss": 0.3724,
"step": 10
},
{
"epoch": 0.92,
"learning_rate": 4.166666666666667e-05,
"loss": 0.4903,
"step": 11
},
{
"epoch": 1.0,
"learning_rate": 4.5833333333333334e-05,
"loss": 0.9232,
"step": 12
},
{
"epoch": 1.0,
"eval_accuracy": 0.75,
"eval_auc": 0.6296296296296297,
"eval_f1": 0.0,
"eval_loss": 0.5604451298713684,
"eval_precision": 0.0,
"eval_recall": 0.0,
"eval_runtime": 0.9668,
"eval_samples_per_second": 24.824,
"eval_steps_per_second": 2.069,
"step": 12
},
{
"epoch": 1.08,
"learning_rate": 5e-05,
"loss": 0.2256,
"step": 13
},
{
"epoch": 1.17,
"learning_rate": 4.9537037037037035e-05,
"loss": 0.238,
"step": 14
},
{
"epoch": 1.25,
"learning_rate": 4.9074074074074075e-05,
"loss": 1.0486,
"step": 15
},
{
"epoch": 1.33,
"learning_rate": 4.8611111111111115e-05,
"loss": 0.2961,
"step": 16
},
{
"epoch": 1.42,
"learning_rate": 4.814814814814815e-05,
"loss": 0.5506,
"step": 17
},
{
"epoch": 1.5,
"learning_rate": 4.814814814814815e-05,
"loss": 0.2733,
"step": 18
},
{
"epoch": 1.58,
"learning_rate": 4.768518518518519e-05,
"loss": 0.2415,
"step": 19
},
{
"epoch": 1.67,
"learning_rate": 4.722222222222222e-05,
"loss": 0.1263,
"step": 20
},
{
"epoch": 1.75,
"learning_rate": 4.675925925925926e-05,
"loss": 0.1261,
"step": 21
},
{
"epoch": 1.83,
"learning_rate": 4.62962962962963e-05,
"loss": 0.2731,
"step": 22
},
{
"epoch": 1.92,
"learning_rate": 4.5833333333333334e-05,
"loss": 0.1118,
"step": 23
},
{
"epoch": 2.0,
"learning_rate": 4.5370370370370374e-05,
"loss": 0.6111,
"step": 24
},
{
"epoch": 2.0,
"eval_accuracy": 0.8333333333333334,
"eval_auc": 0.8333333333333334,
"eval_f1": 0.6,
"eval_loss": 0.3809445798397064,
"eval_precision": 0.75,
"eval_recall": 0.5,
"eval_runtime": 1.1816,
"eval_samples_per_second": 20.311,
"eval_steps_per_second": 1.693,
"step": 24
},
{
"epoch": 2.08,
"learning_rate": 4.490740740740741e-05,
"loss": 0.293,
"step": 25
},
{
"epoch": 2.17,
"learning_rate": 4.4444444444444447e-05,
"loss": 0.0621,
"step": 26
},
{
"epoch": 2.25,
"learning_rate": 4.3981481481481486e-05,
"loss": 0.0873,
"step": 27
},
{
"epoch": 2.33,
"learning_rate": 4.351851851851852e-05,
"loss": 0.0653,
"step": 28
},
{
"epoch": 2.42,
"learning_rate": 4.305555555555556e-05,
"loss": 0.1292,
"step": 29
},
{
"epoch": 2.5,
"learning_rate": 4.259259259259259e-05,
"loss": 0.1142,
"step": 30
},
{
"epoch": 2.58,
"learning_rate": 4.212962962962963e-05,
"loss": 0.0272,
"step": 31
},
{
"epoch": 2.67,
"learning_rate": 4.166666666666667e-05,
"loss": 0.0551,
"step": 32
},
{
"epoch": 2.75,
"learning_rate": 4.1203703703703705e-05,
"loss": 0.1881,
"step": 33
},
{
"epoch": 2.83,
"learning_rate": 4.074074074074074e-05,
"loss": 0.047,
"step": 34
},
{
"epoch": 2.92,
"learning_rate": 4.027777777777778e-05,
"loss": 0.3178,
"step": 35
},
{
"epoch": 3.0,
"learning_rate": 3.981481481481482e-05,
"loss": 0.4922,
"step": 36
},
{
"epoch": 3.0,
"eval_accuracy": 0.875,
"eval_auc": 0.8148148148148148,
"eval_f1": 0.6666666666666666,
"eval_loss": 0.4897962510585785,
"eval_precision": 1.0,
"eval_recall": 0.5,
"eval_runtime": 0.91,
"eval_samples_per_second": 26.373,
"eval_steps_per_second": 2.198,
"step": 36
},
{
"epoch": 3.08,
"learning_rate": 3.935185185185186e-05,
"loss": 0.0111,
"step": 37
},
{
"epoch": 3.17,
"learning_rate": 3.888888888888889e-05,
"loss": 0.0638,
"step": 38
},
{
"epoch": 3.25,
"learning_rate": 3.8425925925925924e-05,
"loss": 0.0097,
"step": 39
},
{
"epoch": 3.33,
"learning_rate": 3.7962962962962964e-05,
"loss": 0.0402,
"step": 40
},
{
"epoch": 3.42,
"learning_rate": 3.7500000000000003e-05,
"loss": 0.0386,
"step": 41
},
{
"epoch": 3.5,
"learning_rate": 3.7037037037037037e-05,
"loss": 0.1937,
"step": 42
},
{
"epoch": 3.58,
"learning_rate": 3.6574074074074076e-05,
"loss": 0.5758,
"step": 43
},
{
"epoch": 3.67,
"learning_rate": 3.611111111111111e-05,
"loss": 0.1015,
"step": 44
},
{
"epoch": 3.75,
"learning_rate": 3.564814814814815e-05,
"loss": 0.0208,
"step": 45
},
{
"epoch": 3.83,
"learning_rate": 3.518518518518519e-05,
"loss": 0.0489,
"step": 46
},
{
"epoch": 3.92,
"learning_rate": 3.472222222222222e-05,
"loss": 0.0167,
"step": 47
},
{
"epoch": 4.0,
"learning_rate": 3.425925925925926e-05,
"loss": 0.0876,
"step": 48
},
{
"epoch": 4.0,
"eval_accuracy": 0.9166666666666666,
"eval_auc": 0.9351851851851851,
"eval_f1": 0.8333333333333334,
"eval_loss": 0.26321205496788025,
"eval_precision": 0.8333333333333334,
"eval_recall": 0.8333333333333334,
"eval_runtime": 0.8986,
"eval_samples_per_second": 26.708,
"eval_steps_per_second": 2.226,
"step": 48
}
],
"logging_steps": 1,
"max_steps": 120,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 3.1148228745363456e+17,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}