akseljoonas's picture
akseljoonas HF Staff
Model save
0f8d7af verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 8.0,
"eval_steps": 500,
"global_step": 72,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.5882352941176471,
"grad_norm": 1.453149383018604,
"learning_rate": 3.125e-05,
"loss": 1.1323,
"mean_token_accuracy": 0.758558577299118,
"num_tokens": 2505918.0,
"step": 5
},
{
"epoch": 1.1176470588235294,
"grad_norm": 0.8843952108301645,
"learning_rate": 4.8437500000000005e-05,
"loss": 0.9418,
"mean_token_accuracy": 0.786483476559321,
"num_tokens": 4791423.0,
"step": 10
},
{
"epoch": 1.7058823529411766,
"grad_norm": 0.35303048389497826,
"learning_rate": 4.453125e-05,
"loss": 0.7428,
"mean_token_accuracy": 0.8249349921941758,
"num_tokens": 7330272.0,
"step": 15
},
{
"epoch": 2.235294117647059,
"grad_norm": 0.3908112032783539,
"learning_rate": 4.0625000000000005e-05,
"loss": 0.6935,
"mean_token_accuracy": 0.8370609614584181,
"num_tokens": 9618952.0,
"step": 20
},
{
"epoch": 2.8235294117647056,
"grad_norm": 0.22079369830396672,
"learning_rate": 3.671875e-05,
"loss": 0.5392,
"mean_token_accuracy": 0.866364911198616,
"num_tokens": 12114377.0,
"step": 25
},
{
"epoch": 3.3529411764705883,
"grad_norm": 0.22167112596094207,
"learning_rate": 3.2812500000000005e-05,
"loss": 0.4885,
"mean_token_accuracy": 0.8808583782778846,
"num_tokens": 14409009.0,
"step": 30
},
{
"epoch": 3.9411764705882355,
"grad_norm": 0.9782959114884348,
"learning_rate": 2.890625e-05,
"loss": 0.4183,
"mean_token_accuracy": 0.8973524689674377,
"num_tokens": 16918082.0,
"step": 35
},
{
"epoch": 4.470588235294118,
"grad_norm": 0.4095276244792195,
"learning_rate": 2.5e-05,
"loss": 0.3897,
"mean_token_accuracy": 0.9068596760431925,
"num_tokens": 19217454.0,
"step": 40
},
{
"epoch": 5.0,
"grad_norm": 0.21972425572371848,
"learning_rate": 2.109375e-05,
"loss": 0.2675,
"mean_token_accuracy": 0.9311207168632083,
"num_tokens": 21475135.0,
"step": 45
},
{
"epoch": 5.588235294117647,
"grad_norm": 0.22803635719329346,
"learning_rate": 1.71875e-05,
"loss": 0.2681,
"mean_token_accuracy": 0.9340837925672532,
"num_tokens": 23999790.0,
"step": 50
},
{
"epoch": 6.117647058823529,
"grad_norm": 0.3459891609100074,
"learning_rate": 1.3281250000000001e-05,
"loss": 0.2211,
"mean_token_accuracy": 0.9482026563750373,
"num_tokens": 26264984.0,
"step": 55
},
{
"epoch": 6.705882352941177,
"grad_norm": 0.2374700982971719,
"learning_rate": 9.375000000000001e-06,
"loss": 0.1483,
"mean_token_accuracy": 0.9612507849931717,
"num_tokens": 28792279.0,
"step": 60
},
{
"epoch": 7.235294117647059,
"grad_norm": 0.276768438905862,
"learning_rate": 5.46875e-06,
"loss": 0.2467,
"mean_token_accuracy": 0.9479848013983833,
"num_tokens": 31085796.0,
"step": 65
},
{
"epoch": 7.823529411764706,
"grad_norm": 0.18403035516539035,
"learning_rate": 1.5625e-06,
"loss": 0.1465,
"mean_token_accuracy": 0.9668508440256118,
"num_tokens": 33579925.0,
"step": 70
},
{
"epoch": 8.0,
"mean_token_accuracy": 0.955658088127772,
"num_tokens": 34358154.0,
"step": 72,
"total_flos": 70898833948672.0,
"train_loss": 0.48625098499986863,
"train_runtime": 731.1833,
"train_samples_per_second": 6.634,
"train_steps_per_second": 0.098
}
],
"logging_steps": 5,
"max_steps": 72,
"num_input_tokens_seen": 0,
"num_train_epochs": 9,
"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": 70898833948672.0,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}