kaanyvvz's picture
End of training
1725d5d verified
{
"best_metric": 0.9622508792497069,
"best_model_checkpoint": "ky-finetuned-skindiseaseicthuawei32/checkpoint-3000",
"epoch": 10.0,
"eval_steps": 500,
"global_step": 3000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 135.11822509765625,
"learning_rate": 5e-05,
"loss": 1.3894,
"step": 300
},
{
"epoch": 1.0,
"eval_accuracy": 0.8060961313012895,
"eval_loss": 0.6159797310829163,
"eval_runtime": 59.1496,
"eval_samples_per_second": 72.105,
"eval_steps_per_second": 2.265,
"step": 300
},
{
"epoch": 2.0,
"grad_norm": 114.53544616699219,
"learning_rate": 4.4444444444444447e-05,
"loss": 0.6543,
"step": 600
},
{
"epoch": 2.0,
"eval_accuracy": 0.8635404454865182,
"eval_loss": 0.43777740001678467,
"eval_runtime": 58.9516,
"eval_samples_per_second": 72.348,
"eval_steps_per_second": 2.273,
"step": 600
},
{
"epoch": 3.0,
"grad_norm": 72.00625610351562,
"learning_rate": 3.888888888888889e-05,
"loss": 0.471,
"step": 900
},
{
"epoch": 3.0,
"eval_accuracy": 0.9160609613130128,
"eval_loss": 0.2565539479255676,
"eval_runtime": 59.0158,
"eval_samples_per_second": 72.269,
"eval_steps_per_second": 2.271,
"step": 900
},
{
"epoch": 4.0,
"grad_norm": 76.05452728271484,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.3853,
"step": 1200
},
{
"epoch": 4.0,
"eval_accuracy": 0.9134818288393904,
"eval_loss": 0.2498469352722168,
"eval_runtime": 59.1502,
"eval_samples_per_second": 72.105,
"eval_steps_per_second": 2.265,
"step": 1200
},
{
"epoch": 5.0,
"grad_norm": 110.07782745361328,
"learning_rate": 2.777777777777778e-05,
"loss": 0.3225,
"step": 1500
},
{
"epoch": 5.0,
"eval_accuracy": 0.9289566236811254,
"eval_loss": 0.21574878692626953,
"eval_runtime": 59.1951,
"eval_samples_per_second": 72.05,
"eval_steps_per_second": 2.264,
"step": 1500
},
{
"epoch": 6.0,
"grad_norm": 54.6344108581543,
"learning_rate": 2.2222222222222223e-05,
"loss": 0.2769,
"step": 1800
},
{
"epoch": 6.0,
"eval_accuracy": 0.9406799531066823,
"eval_loss": 0.1746564507484436,
"eval_runtime": 59.244,
"eval_samples_per_second": 71.99,
"eval_steps_per_second": 2.262,
"step": 1800
},
{
"epoch": 7.0,
"grad_norm": 49.57483673095703,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.2364,
"step": 2100
},
{
"epoch": 7.0,
"eval_accuracy": 0.948651817116061,
"eval_loss": 0.15020643174648285,
"eval_runtime": 59.6495,
"eval_samples_per_second": 71.501,
"eval_steps_per_second": 2.246,
"step": 2100
},
{
"epoch": 8.0,
"grad_norm": 85.14453125,
"learning_rate": 1.1111111111111112e-05,
"loss": 0.2005,
"step": 2400
},
{
"epoch": 8.0,
"eval_accuracy": 0.9547479484173506,
"eval_loss": 0.12820766866207123,
"eval_runtime": 59.7687,
"eval_samples_per_second": 71.358,
"eval_steps_per_second": 2.242,
"step": 2400
},
{
"epoch": 9.0,
"grad_norm": 20.916675567626953,
"learning_rate": 5.555555555555556e-06,
"loss": 0.1737,
"step": 2700
},
{
"epoch": 9.0,
"eval_accuracy": 0.9596717467760844,
"eval_loss": 0.11289093643426895,
"eval_runtime": 59.3074,
"eval_samples_per_second": 71.913,
"eval_steps_per_second": 2.259,
"step": 2700
},
{
"epoch": 10.0,
"grad_norm": 45.390342712402344,
"learning_rate": 0.0,
"loss": 0.1468,
"step": 3000
},
{
"epoch": 10.0,
"eval_accuracy": 0.9622508792497069,
"eval_loss": 0.10576048493385315,
"eval_runtime": 59.8846,
"eval_samples_per_second": 71.22,
"eval_steps_per_second": 2.238,
"step": 3000
},
{
"epoch": 10.0,
"step": 3000,
"total_flos": 3.922659491677471e+19,
"train_loss": 0.4256939633687337,
"train_runtime": 8577.8057,
"train_samples_per_second": 44.749,
"train_steps_per_second": 0.35
}
],
"logging_steps": 10,
"max_steps": 3000,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"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": 3.922659491677471e+19,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}