Quentin Meeus
Finetune E2E NER model for 5000 steps with LoRA
9aefa35
raw
history blame contribute delete
No virus
3.82 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.5022341376228776,
"eval_steps": 200,
"global_step": 1400,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.18,
"learning_rate": 2.0000000000000003e-06,
"loss": 2.9598,
"step": 100
},
{
"epoch": 0.36,
"learning_rate": 4.000000000000001e-06,
"loss": 2.3436,
"step": 200
},
{
"epoch": 0.36,
"eval_loss": 1.8791261911392212,
"eval_runtime": 1327.8534,
"eval_samples_per_second": 0.753,
"eval_steps_per_second": 0.047,
"eval_wer": 0.8870904221802143,
"step": 200
},
{
"epoch": 0.54,
"learning_rate": 6e-06,
"loss": 1.5788,
"step": 300
},
{
"epoch": 0.71,
"learning_rate": 8.000000000000001e-06,
"loss": 1.1682,
"step": 400
},
{
"epoch": 0.71,
"eval_loss": 1.0307379961013794,
"eval_runtime": 1238.5009,
"eval_samples_per_second": 0.807,
"eval_steps_per_second": 0.051,
"eval_wer": 0.5047652804032766,
"step": 400
},
{
"epoch": 0.89,
"learning_rate": 1e-05,
"loss": 0.9354,
"step": 500
},
{
"epoch": 1.07,
"learning_rate": 9.987820251299121e-06,
"loss": 0.7321,
"step": 600
},
{
"epoch": 1.07,
"eval_loss": 0.6299881935119629,
"eval_runtime": 830.7332,
"eval_samples_per_second": 1.204,
"eval_steps_per_second": 0.076,
"eval_wer": 0.36645400126023947,
"step": 600
},
{
"epoch": 1.25,
"learning_rate": 9.951340343707852e-06,
"loss": 0.5397,
"step": 700
},
{
"epoch": 1.43,
"learning_rate": 9.890738003669029e-06,
"loss": 0.4564,
"step": 800
},
{
"epoch": 1.43,
"eval_loss": 0.438092440366745,
"eval_runtime": 723.2192,
"eval_samples_per_second": 1.383,
"eval_steps_per_second": 0.087,
"eval_wer": 0.35148865784499056,
"step": 800
},
{
"epoch": 1.61,
"learning_rate": 9.806308479691595e-06,
"loss": 0.4291,
"step": 900
},
{
"epoch": 1.79,
"learning_rate": 9.698463103929542e-06,
"loss": 0.4095,
"step": 1000
},
{
"epoch": 1.79,
"eval_loss": 0.40272918343544006,
"eval_runtime": 636.5063,
"eval_samples_per_second": 1.571,
"eval_steps_per_second": 0.099,
"eval_wer": 0.33297889098928796,
"step": 1000
},
{
"epoch": 1.97,
"learning_rate": 9.567727288213005e-06,
"loss": 0.3992,
"step": 1100
},
{
"epoch": 2.14,
"learning_rate": 9.414737964294636e-06,
"loss": 0.3813,
"step": 1200
},
{
"epoch": 2.14,
"eval_loss": 0.3847169280052185,
"eval_runtime": 616.7138,
"eval_samples_per_second": 1.621,
"eval_steps_per_second": 0.102,
"eval_wer": 0.3359719596723377,
"step": 1200
},
{
"epoch": 2.32,
"learning_rate": 9.24024048078213e-06,
"loss": 0.3711,
"step": 1300
},
{
"epoch": 2.5,
"learning_rate": 9.045084971874738e-06,
"loss": 0.3667,
"step": 1400
},
{
"epoch": 2.5,
"eval_loss": 0.37336310744285583,
"eval_runtime": 614.3217,
"eval_samples_per_second": 1.628,
"eval_steps_per_second": 0.103,
"eval_wer": 0.33916194076874606,
"step": 1400
}
],
"logging_steps": 100,
"max_steps": 5000,
"num_input_tokens_seen": 0,
"num_train_epochs": 9,
"save_steps": 200,
"total_flos": 5.220858048233472e+19,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}