0chanly's picture
Upload folder using huggingface_hub
d446ce1 verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.0,
"eval_steps": 500,
"global_step": 226,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.08888888888888889,
"grad_norm": 1.3860198259353638,
"learning_rate": 3.6e-05,
"loss": 1.4089,
"step": 10
},
{
"epoch": 0.17777777777777778,
"grad_norm": 1.945064663887024,
"learning_rate": 7.6e-05,
"loss": 1.2541,
"step": 20
},
{
"epoch": 0.26666666666666666,
"grad_norm": 1.5190799236297607,
"learning_rate": 0.000116,
"loss": 1.0915,
"step": 30
},
{
"epoch": 0.35555555555555557,
"grad_norm": 1.624822735786438,
"learning_rate": 0.00015600000000000002,
"loss": 1.1231,
"step": 40
},
{
"epoch": 0.4444444444444444,
"grad_norm": 1.3709652423858643,
"learning_rate": 0.000196,
"loss": 1.0294,
"step": 50
},
{
"epoch": 0.5333333333333333,
"grad_norm": 1.4600133895874023,
"learning_rate": 0.00018977272727272728,
"loss": 1.0663,
"step": 60
},
{
"epoch": 0.6222222222222222,
"grad_norm": 1.397749662399292,
"learning_rate": 0.00017840909090909092,
"loss": 1.0412,
"step": 70
},
{
"epoch": 0.7111111111111111,
"grad_norm": 1.1549971103668213,
"learning_rate": 0.00016704545454545455,
"loss": 0.9761,
"step": 80
},
{
"epoch": 0.8,
"grad_norm": 1.229239583015442,
"learning_rate": 0.00015568181818181818,
"loss": 1.0562,
"step": 90
},
{
"epoch": 0.8888888888888888,
"grad_norm": 1.3344461917877197,
"learning_rate": 0.00014431818181818182,
"loss": 1.0214,
"step": 100
},
{
"epoch": 0.9777777777777777,
"grad_norm": 1.0738836526870728,
"learning_rate": 0.00013295454545454548,
"loss": 0.9623,
"step": 110
},
{
"epoch": 1.0,
"eval_loss": 1.0325431823730469,
"eval_runtime": 6.5587,
"eval_samples_per_second": 15.247,
"eval_steps_per_second": 1.982,
"step": 113
},
{
"epoch": 1.0622222222222222,
"grad_norm": 1.6436502933502197,
"learning_rate": 0.00012159090909090908,
"loss": 0.8405,
"step": 120
},
{
"epoch": 1.1511111111111112,
"grad_norm": 1.2771726846694946,
"learning_rate": 0.00011022727272727273,
"loss": 0.8454,
"step": 130
},
{
"epoch": 1.24,
"grad_norm": 1.2871211767196655,
"learning_rate": 9.886363636363637e-05,
"loss": 0.8083,
"step": 140
},
{
"epoch": 1.3288888888888888,
"grad_norm": 1.5843398571014404,
"learning_rate": 8.75e-05,
"loss": 0.8218,
"step": 150
},
{
"epoch": 1.4177777777777778,
"grad_norm": 1.2667443752288818,
"learning_rate": 7.613636363636363e-05,
"loss": 0.8261,
"step": 160
},
{
"epoch": 1.5066666666666668,
"grad_norm": 1.3391046524047852,
"learning_rate": 6.477272727272728e-05,
"loss": 0.8019,
"step": 170
},
{
"epoch": 1.5955555555555554,
"grad_norm": 1.2577234506607056,
"learning_rate": 5.340909090909091e-05,
"loss": 0.8598,
"step": 180
},
{
"epoch": 1.6844444444444444,
"grad_norm": 1.5575358867645264,
"learning_rate": 4.204545454545455e-05,
"loss": 0.768,
"step": 190
},
{
"epoch": 1.7733333333333334,
"grad_norm": 1.369371771812439,
"learning_rate": 3.068181818181818e-05,
"loss": 0.8109,
"step": 200
},
{
"epoch": 1.8622222222222222,
"grad_norm": 1.4712281227111816,
"learning_rate": 1.9318181818181818e-05,
"loss": 0.7924,
"step": 210
},
{
"epoch": 1.951111111111111,
"grad_norm": 1.3420695066452026,
"learning_rate": 7.954545454545455e-06,
"loss": 0.7288,
"step": 220
},
{
"epoch": 2.0,
"eval_loss": 1.0223336219787598,
"eval_runtime": 6.5358,
"eval_samples_per_second": 15.3,
"eval_steps_per_second": 1.989,
"step": 226
}
],
"logging_steps": 10,
"max_steps": 226,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"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": 5.92047891283968e+16,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}