kevinoli's picture
Training in progress, step 12000, checkpoint
df26609 verified
{
"best_metric": 1.3662136793136597,
"best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e4l59-l/checkpoint-12000",
"epoch": 2.210759027266028,
"eval_steps": 500,
"global_step": 12000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.09211495946941783,
"grad_norm": 20.952665328979492,
"learning_rate": 4.884856300663228e-09,
"loss": 0.3952,
"step": 500
},
{
"epoch": 0.09211495946941783,
"eval_loss": 1.4940427541732788,
"eval_runtime": 73.9282,
"eval_samples_per_second": 16.327,
"eval_steps_per_second": 2.043,
"step": 500
},
{
"epoch": 0.18422991893883567,
"grad_norm": 59.28666687011719,
"learning_rate": 4.769712601326456e-09,
"loss": 0.4562,
"step": 1000
},
{
"epoch": 0.18422991893883567,
"eval_loss": 1.4853259325027466,
"eval_runtime": 74.6533,
"eval_samples_per_second": 16.168,
"eval_steps_per_second": 2.023,
"step": 1000
},
{
"epoch": 0.2763448784082535,
"grad_norm": 1.179814338684082,
"learning_rate": 4.654568901989683e-09,
"loss": 0.5131,
"step": 1500
},
{
"epoch": 0.2763448784082535,
"eval_loss": 1.4757832288742065,
"eval_runtime": 76.2866,
"eval_samples_per_second": 15.822,
"eval_steps_per_second": 1.979,
"step": 1500
},
{
"epoch": 0.36845983787767134,
"grad_norm": 0.900991678237915,
"learning_rate": 4.5394252026529105e-09,
"loss": 0.4481,
"step": 2000
},
{
"epoch": 0.36845983787767134,
"eval_loss": 1.4675536155700684,
"eval_runtime": 75.9348,
"eval_samples_per_second": 15.895,
"eval_steps_per_second": 1.989,
"step": 2000
},
{
"epoch": 0.46057479734708917,
"grad_norm": 346.93853759765625,
"learning_rate": 4.424281503316139e-09,
"loss": 0.4839,
"step": 2500
},
{
"epoch": 0.46057479734708917,
"eval_loss": 1.4585391283035278,
"eval_runtime": 76.7708,
"eval_samples_per_second": 15.722,
"eval_steps_per_second": 1.967,
"step": 2500
},
{
"epoch": 0.552689756816507,
"grad_norm": 318.47515869140625,
"learning_rate": 4.3091378039793666e-09,
"loss": 0.4377,
"step": 3000
},
{
"epoch": 0.552689756816507,
"eval_loss": 1.4507631063461304,
"eval_runtime": 76.5424,
"eval_samples_per_second": 15.769,
"eval_steps_per_second": 1.973,
"step": 3000
},
{
"epoch": 0.6448047162859248,
"grad_norm": 112.41814422607422,
"learning_rate": 4.193994104642594e-09,
"loss": 0.4231,
"step": 3500
},
{
"epoch": 0.6448047162859248,
"eval_loss": 1.4432125091552734,
"eval_runtime": 76.4812,
"eval_samples_per_second": 15.782,
"eval_steps_per_second": 1.974,
"step": 3500
},
{
"epoch": 0.7369196757553427,
"grad_norm": 83.51781463623047,
"learning_rate": 4.078850405305822e-09,
"loss": 0.4369,
"step": 4000
},
{
"epoch": 0.7369196757553427,
"eval_loss": 1.4365661144256592,
"eval_runtime": 76.4405,
"eval_samples_per_second": 15.79,
"eval_steps_per_second": 1.975,
"step": 4000
},
{
"epoch": 0.8290346352247605,
"grad_norm": 460.5648498535156,
"learning_rate": 3.963706705969049e-09,
"loss": 0.4082,
"step": 4500
},
{
"epoch": 0.8290346352247605,
"eval_loss": 1.4302303791046143,
"eval_runtime": 75.042,
"eval_samples_per_second": 16.084,
"eval_steps_per_second": 2.012,
"step": 4500
},
{
"epoch": 0.9211495946941783,
"grad_norm": 5.289137363433838,
"learning_rate": 3.848563006632278e-09,
"loss": 0.4234,
"step": 5000
},
{
"epoch": 0.9211495946941783,
"eval_loss": 1.4243344068527222,
"eval_runtime": 76.6198,
"eval_samples_per_second": 15.753,
"eval_steps_per_second": 1.971,
"step": 5000
},
{
"epoch": 1.013264554163596,
"grad_norm": 0.6147650480270386,
"learning_rate": 3.733419307295505e-09,
"loss": 0.4266,
"step": 5500
},
{
"epoch": 1.013264554163596,
"eval_loss": 1.4190788269042969,
"eval_runtime": 75.4536,
"eval_samples_per_second": 15.997,
"eval_steps_per_second": 2.001,
"step": 5500
},
{
"epoch": 1.105379513633014,
"grad_norm": 231.71815490722656,
"learning_rate": 3.6182756079587326e-09,
"loss": 0.4438,
"step": 6000
},
{
"epoch": 1.105379513633014,
"eval_loss": 1.4136912822723389,
"eval_runtime": 76.5978,
"eval_samples_per_second": 15.758,
"eval_steps_per_second": 1.971,
"step": 6000
},
{
"epoch": 1.1974944731024317,
"grad_norm": 464.0763854980469,
"learning_rate": 3.5031319086219602e-09,
"loss": 0.3814,
"step": 6500
},
{
"epoch": 1.1974944731024317,
"eval_loss": 1.4085203409194946,
"eval_runtime": 75.4916,
"eval_samples_per_second": 15.989,
"eval_steps_per_second": 2.0,
"step": 6500
},
{
"epoch": 1.2896094325718497,
"grad_norm": 2.5053436756134033,
"learning_rate": 3.3879882092851882e-09,
"loss": 0.3327,
"step": 7000
},
{
"epoch": 1.2896094325718497,
"eval_loss": 1.4041872024536133,
"eval_runtime": 75.2076,
"eval_samples_per_second": 16.049,
"eval_steps_per_second": 2.008,
"step": 7000
},
{
"epoch": 1.3817243920412676,
"grad_norm": 126.44642639160156,
"learning_rate": 3.2728445099484154e-09,
"loss": 0.4045,
"step": 7500
},
{
"epoch": 1.3817243920412676,
"eval_loss": 1.398864984512329,
"eval_runtime": 75.3652,
"eval_samples_per_second": 16.015,
"eval_steps_per_second": 2.004,
"step": 7500
},
{
"epoch": 1.4738393515106853,
"grad_norm": 1.046550989151001,
"learning_rate": 3.1577008106116435e-09,
"loss": 0.4038,
"step": 8000
},
{
"epoch": 1.4738393515106853,
"eval_loss": 1.3937218189239502,
"eval_runtime": 75.1378,
"eval_samples_per_second": 16.064,
"eval_steps_per_second": 2.01,
"step": 8000
},
{
"epoch": 1.565954310980103,
"grad_norm": 212.23594665527344,
"learning_rate": 3.042557111274871e-09,
"loss": 0.3659,
"step": 8500
},
{
"epoch": 1.565954310980103,
"eval_loss": 1.3894429206848145,
"eval_runtime": 75.2403,
"eval_samples_per_second": 16.042,
"eval_steps_per_second": 2.007,
"step": 8500
},
{
"epoch": 1.658069270449521,
"grad_norm": 2.719074010848999,
"learning_rate": 2.927413411938099e-09,
"loss": 0.4282,
"step": 9000
},
{
"epoch": 1.658069270449521,
"eval_loss": 1.3854893445968628,
"eval_runtime": 74.8392,
"eval_samples_per_second": 16.128,
"eval_steps_per_second": 2.018,
"step": 9000
},
{
"epoch": 1.750184229918939,
"grad_norm": 4.810174465179443,
"learning_rate": 2.8122697126013263e-09,
"loss": 0.4173,
"step": 9500
},
{
"epoch": 1.750184229918939,
"eval_loss": 1.3816269636154175,
"eval_runtime": 75.6136,
"eval_samples_per_second": 15.963,
"eval_steps_per_second": 1.997,
"step": 9500
},
{
"epoch": 1.8422991893883567,
"grad_norm": 630.7271118164062,
"learning_rate": 2.6971260132645543e-09,
"loss": 0.3758,
"step": 10000
},
{
"epoch": 1.8422991893883567,
"eval_loss": 1.3779022693634033,
"eval_runtime": 76.6948,
"eval_samples_per_second": 15.738,
"eval_steps_per_second": 1.969,
"step": 10000
},
{
"epoch": 1.9344141488577744,
"grad_norm": 3.372347831726074,
"learning_rate": 2.581982313927782e-09,
"loss": 0.4105,
"step": 10500
},
{
"epoch": 1.9344141488577744,
"eval_loss": 1.3744733333587646,
"eval_runtime": 76.3833,
"eval_samples_per_second": 15.802,
"eval_steps_per_second": 1.977,
"step": 10500
},
{
"epoch": 2.026529108327192,
"grad_norm": 0.4494275450706482,
"learning_rate": 2.4668386145910095e-09,
"loss": 0.3765,
"step": 11000
},
{
"epoch": 2.026529108327192,
"eval_loss": 1.3716294765472412,
"eval_runtime": 76.2721,
"eval_samples_per_second": 15.825,
"eval_steps_per_second": 1.98,
"step": 11000
},
{
"epoch": 2.1186440677966103,
"grad_norm": 397.7524719238281,
"learning_rate": 2.3516949152542375e-09,
"loss": 0.3746,
"step": 11500
},
{
"epoch": 2.1186440677966103,
"eval_loss": 1.3690176010131836,
"eval_runtime": 74.7759,
"eval_samples_per_second": 16.142,
"eval_steps_per_second": 2.019,
"step": 11500
},
{
"epoch": 2.210759027266028,
"grad_norm": 1.4716993570327759,
"learning_rate": 2.236551215917465e-09,
"loss": 0.3783,
"step": 12000
},
{
"epoch": 2.210759027266028,
"eval_loss": 1.3662136793136597,
"eval_runtime": 74.6166,
"eval_samples_per_second": 16.176,
"eval_steps_per_second": 2.024,
"step": 12000
}
],
"logging_steps": 500,
"max_steps": 21712,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 4317819731822520.0,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}