Adanato's picture
Add files using upload-large-folder tool
191f68e verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0,
"eval_steps": 500,
"global_step": 196,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.05118362124120281,
"grad_norm": 4.012045860290527,
"learning_rate": 4.5e-06,
"loss": 1.2233,
"step": 10
},
{
"epoch": 0.10236724248240563,
"grad_norm": 1.2771143913269043,
"learning_rate": 9.5e-06,
"loss": 1.0633,
"step": 20
},
{
"epoch": 0.15355086372360843,
"grad_norm": 1.100355863571167,
"learning_rate": 9.935617890443557e-06,
"loss": 0.9537,
"step": 30
},
{
"epoch": 0.20473448496481125,
"grad_norm": 1.0564576387405396,
"learning_rate": 9.715190263989562e-06,
"loss": 0.9307,
"step": 40
},
{
"epoch": 0.2559181062060141,
"grad_norm": 0.8557350635528564,
"learning_rate": 9.344925248293837e-06,
"loss": 0.8975,
"step": 50
},
{
"epoch": 0.30710172744721687,
"grad_norm": 0.9621028304100037,
"learning_rate": 8.836588973708129e-06,
"loss": 0.8828,
"step": 60
},
{
"epoch": 0.3582853486884197,
"grad_norm": 0.9318518042564392,
"learning_rate": 8.206335142623305e-06,
"loss": 0.8664,
"step": 70
},
{
"epoch": 0.4094689699296225,
"grad_norm": 0.8918096423149109,
"learning_rate": 7.474191703716339e-06,
"loss": 0.8745,
"step": 80
},
{
"epoch": 0.46065259117082535,
"grad_norm": 0.9675208926200867,
"learning_rate": 6.663424411982121e-06,
"loss": 0.8685,
"step": 90
},
{
"epoch": 0.5118362124120281,
"grad_norm": 0.7841407060623169,
"learning_rate": 5.799797499079301e-06,
"loss": 0.8618,
"step": 100
},
{
"epoch": 0.5630198336532309,
"grad_norm": 0.8288546204566956,
"learning_rate": 4.91075494810577e-06,
"loss": 0.856,
"step": 110
},
{
"epoch": 0.6142034548944337,
"grad_norm": 0.7750006318092346,
"learning_rate": 4.02454838991936e-06,
"loss": 0.8496,
"step": 120
},
{
"epoch": 0.6653870761356366,
"grad_norm": 0.7605913281440735,
"learning_rate": 3.169339334358105e-06,
"loss": 0.8511,
"step": 130
},
{
"epoch": 0.7165706973768394,
"grad_norm": 0.7413455247879028,
"learning_rate": 2.372304265289436e-06,
"loss": 0.8558,
"step": 140
},
{
"epoch": 0.7677543186180422,
"grad_norm": 0.6414501667022705,
"learning_rate": 1.6587710374121203e-06,
"loss": 0.843,
"step": 150
},
{
"epoch": 0.818937939859245,
"grad_norm": 0.6109052896499634,
"learning_rate": 1.0514140180404202e-06,
"loss": 0.8326,
"step": 160
},
{
"epoch": 0.8701215611004478,
"grad_norm": 0.6194486021995544,
"learning_rate": 5.69533550325988e-07,
"loss": 0.8314,
"step": 170
},
{
"epoch": 0.9213051823416507,
"grad_norm": 0.5898410081863403,
"learning_rate": 2.2844263484068097e-07,
"loss": 0.839,
"step": 180
},
{
"epoch": 0.9724888035828535,
"grad_norm": 0.586728036403656,
"learning_rate": 3.8980319302407976e-08,
"loss": 0.8305,
"step": 190
},
{
"epoch": 1.0,
"step": 196,
"total_flos": 7.261902975767937e+18,
"train_loss": 0.8923199541714727,
"train_runtime": 6752.3964,
"train_samples_per_second": 3.702,
"train_steps_per_second": 0.029
}
],
"logging_steps": 10,
"max_steps": 196,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 196,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 7.261902975767937e+18,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}