Bart_reddit_tifu / trainer_state.json
GlycerinLOL's picture
End of training
2b9ec1c verified
raw
history blame contribute delete
No virus
4.7 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 3.999156296140055,
"eval_steps": 500,
"global_step": 9480,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.21,
"learning_rate": 1.8955696202531647e-05,
"loss": 2.9241,
"step": 500
},
{
"epoch": 0.42,
"learning_rate": 1.7900843881856543e-05,
"loss": 2.7783,
"step": 1000
},
{
"epoch": 0.63,
"learning_rate": 1.6845991561181435e-05,
"loss": 2.7342,
"step": 1500
},
{
"epoch": 0.84,
"learning_rate": 1.579113924050633e-05,
"loss": 2.6968,
"step": 2000
},
{
"epoch": 1.0,
"eval_f1": 0.8701,
"eval_gen_len": 19.4437588989084,
"eval_loss": 2.538452386856079,
"eval_precision": 0.8766,
"eval_recall": 0.8641,
"eval_rouge1": 0.2634,
"eval_rouge2": 0.0907,
"eval_rougeL": 0.218,
"eval_rougeLsum": 0.2182,
"eval_runtime": 339.9314,
"eval_samples_per_second": 6.198,
"eval_steps_per_second": 1.55,
"step": 2370
},
{
"epoch": 1.05,
"learning_rate": 1.4736286919831224e-05,
"loss": 2.6435,
"step": 2500
},
{
"epoch": 1.27,
"learning_rate": 1.368354430379747e-05,
"loss": 2.4844,
"step": 3000
},
{
"epoch": 1.48,
"learning_rate": 1.2628691983122363e-05,
"loss": 2.4626,
"step": 3500
},
{
"epoch": 1.69,
"learning_rate": 1.1573839662447259e-05,
"loss": 2.4676,
"step": 4000
},
{
"epoch": 1.9,
"learning_rate": 1.0523206751054854e-05,
"loss": 2.4746,
"step": 4500
},
{
"epoch": 2.0,
"eval_f1": 0.8712,
"eval_gen_len": 19.25723777883246,
"eval_loss": 2.507711410522461,
"eval_precision": 0.8774,
"eval_recall": 0.8655,
"eval_rouge1": 0.273,
"eval_rouge2": 0.0941,
"eval_rougeL": 0.2238,
"eval_rougeLsum": 0.2239,
"eval_runtime": 335.7013,
"eval_samples_per_second": 6.276,
"eval_steps_per_second": 1.57,
"step": 4741
},
{
"epoch": 2.11,
"learning_rate": 9.468354430379748e-06,
"loss": 2.3813,
"step": 5000
},
{
"epoch": 2.32,
"learning_rate": 8.415611814345991e-06,
"loss": 2.3173,
"step": 5500
},
{
"epoch": 2.53,
"learning_rate": 7.360759493670887e-06,
"loss": 2.3064,
"step": 6000
},
{
"epoch": 2.74,
"learning_rate": 6.305907172995781e-06,
"loss": 2.3008,
"step": 6500
},
{
"epoch": 2.95,
"learning_rate": 5.251054852320675e-06,
"loss": 2.3066,
"step": 7000
},
{
"epoch": 3.0,
"eval_f1": 0.8696,
"eval_gen_len": 19.307071665875654,
"eval_loss": 2.501197099685669,
"eval_precision": 0.8756,
"eval_recall": 0.864,
"eval_rouge1": 0.2671,
"eval_rouge2": 0.0936,
"eval_rougeL": 0.221,
"eval_rougeLsum": 0.2211,
"eval_runtime": 336.0052,
"eval_samples_per_second": 6.271,
"eval_steps_per_second": 1.568,
"step": 7111
},
{
"epoch": 3.16,
"learning_rate": 4.19620253164557e-06,
"loss": 2.2216,
"step": 7500
},
{
"epoch": 3.37,
"learning_rate": 3.141350210970465e-06,
"loss": 2.2071,
"step": 8000
},
{
"epoch": 3.59,
"learning_rate": 2.0864978902953587e-06,
"loss": 2.1852,
"step": 8500
},
{
"epoch": 3.8,
"learning_rate": 1.0316455696202532e-06,
"loss": 2.2041,
"step": 9000
},
{
"epoch": 4.0,
"eval_f1": 0.8705,
"eval_gen_len": 19.35548172757475,
"eval_loss": 2.503497838973999,
"eval_precision": 0.8768,
"eval_recall": 0.8648,
"eval_rouge1": 0.2709,
"eval_rouge2": 0.0948,
"eval_rougeL": 0.2244,
"eval_rougeLsum": 0.2244,
"eval_runtime": 336.6782,
"eval_samples_per_second": 6.258,
"eval_steps_per_second": 1.565,
"step": 9480
},
{
"epoch": 4.0,
"step": 9480,
"total_flos": 2.372598264346706e+17,
"train_loss": 2.436967770862177,
"train_runtime": 10313.084,
"train_samples_per_second": 14.709,
"train_steps_per_second": 0.919
}
],
"logging_steps": 500,
"max_steps": 9480,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"save_steps": 500,
"total_flos": 2.372598264346706e+17,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}