sentiment-lora-r16 / trainer_state.json
apwic's picture
End of training
bf977f2 verified
raw
history blame
10.9 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 20.0,
"eval_steps": 500,
"global_step": 2440,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 5.7573065757751465,
"learning_rate": 4.75e-05,
"loss": 0.56,
"step": 122
},
{
"epoch": 1.0,
"eval_accuracy": 0.7243107769423559,
"eval_f1": 0.6401043033324587,
"eval_loss": 0.4985913038253784,
"eval_precision": 0.6583725987676694,
"eval_recall": 0.6324331696672122,
"eval_runtime": 5.1414,
"eval_samples_per_second": 77.605,
"eval_steps_per_second": 9.725,
"step": 122
},
{
"epoch": 2.0,
"grad_norm": 4.935351848602295,
"learning_rate": 4.5e-05,
"loss": 0.4895,
"step": 244
},
{
"epoch": 2.0,
"eval_accuracy": 0.7518796992481203,
"eval_f1": 0.7272049226179378,
"eval_loss": 0.4648020267486572,
"eval_precision": 0.7208157524613221,
"eval_recall": 0.7569558101472995,
"eval_runtime": 5.0899,
"eval_samples_per_second": 78.39,
"eval_steps_per_second": 9.823,
"step": 244
},
{
"epoch": 3.0,
"grad_norm": 3.3584516048431396,
"learning_rate": 4.25e-05,
"loss": 0.407,
"step": 366
},
{
"epoch": 3.0,
"eval_accuracy": 0.8345864661654135,
"eval_f1": 0.8014506303154594,
"eval_loss": 0.3817030191421509,
"eval_precision": 0.8,
"eval_recall": 0.8029641753046008,
"eval_runtime": 5.0712,
"eval_samples_per_second": 78.68,
"eval_steps_per_second": 9.86,
"step": 366
},
{
"epoch": 4.0,
"grad_norm": 2.330716848373413,
"learning_rate": 4e-05,
"loss": 0.347,
"step": 488
},
{
"epoch": 4.0,
"eval_accuracy": 0.8521303258145363,
"eval_f1": 0.816408656658218,
"eval_loss": 0.3600384294986725,
"eval_precision": 0.8270654903728508,
"eval_recall": 0.8078741589379888,
"eval_runtime": 5.1423,
"eval_samples_per_second": 77.592,
"eval_steps_per_second": 9.723,
"step": 488
},
{
"epoch": 5.0,
"grad_norm": 2.4344160556793213,
"learning_rate": 3.7500000000000003e-05,
"loss": 0.3094,
"step": 610
},
{
"epoch": 5.0,
"eval_accuracy": 0.8295739348370927,
"eval_f1": 0.801956204379562,
"eval_loss": 0.36615419387817383,
"eval_precision": 0.7932330827067668,
"eval_recall": 0.8144208037825059,
"eval_runtime": 5.0766,
"eval_samples_per_second": 78.595,
"eval_steps_per_second": 9.849,
"step": 610
},
{
"epoch": 6.0,
"grad_norm": 5.476891994476318,
"learning_rate": 3.5e-05,
"loss": 0.2924,
"step": 732
},
{
"epoch": 6.0,
"eval_accuracy": 0.8421052631578947,
"eval_f1": 0.8176959060086304,
"eval_loss": 0.367689311504364,
"eval_precision": 0.8074396108253187,
"eval_recall": 0.8332878705219131,
"eval_runtime": 5.0721,
"eval_samples_per_second": 78.665,
"eval_steps_per_second": 9.858,
"step": 732
},
{
"epoch": 7.0,
"grad_norm": 2.243276596069336,
"learning_rate": 3.2500000000000004e-05,
"loss": 0.2723,
"step": 854
},
{
"epoch": 7.0,
"eval_accuracy": 0.8546365914786967,
"eval_f1": 0.8271953405017921,
"eval_loss": 0.33599093556404114,
"eval_precision": 0.8228172499116295,
"eval_recall": 0.8321513002364066,
"eval_runtime": 5.09,
"eval_samples_per_second": 78.388,
"eval_steps_per_second": 9.823,
"step": 854
},
{
"epoch": 8.0,
"grad_norm": 3.912153959274292,
"learning_rate": 3e-05,
"loss": 0.2611,
"step": 976
},
{
"epoch": 8.0,
"eval_accuracy": 0.8546365914786967,
"eval_f1": 0.8219298245614035,
"eval_loss": 0.32096049189567566,
"eval_precision": 0.8273273273273273,
"eval_recall": 0.8171485724677214,
"eval_runtime": 5.0461,
"eval_samples_per_second": 79.071,
"eval_steps_per_second": 9.909,
"step": 976
},
{
"epoch": 9.0,
"grad_norm": 7.307469844818115,
"learning_rate": 2.7500000000000004e-05,
"loss": 0.2584,
"step": 1098
},
{
"epoch": 9.0,
"eval_accuracy": 0.8521303258145363,
"eval_f1": 0.8270277816557308,
"eval_loss": 0.34841448068618774,
"eval_precision": 0.8187875321704318,
"eval_recall": 0.8378796144753592,
"eval_runtime": 5.0698,
"eval_samples_per_second": 78.701,
"eval_steps_per_second": 9.862,
"step": 1098
},
{
"epoch": 10.0,
"grad_norm": 3.1979804039001465,
"learning_rate": 2.5e-05,
"loss": 0.2432,
"step": 1220
},
{
"epoch": 10.0,
"eval_accuracy": 0.8596491228070176,
"eval_f1": 0.8289650949173301,
"eval_loss": 0.3248250186443329,
"eval_precision": 0.8325081997648369,
"eval_recall": 0.82569558101473,
"eval_runtime": 5.0514,
"eval_samples_per_second": 78.988,
"eval_steps_per_second": 9.898,
"step": 1220
},
{
"epoch": 11.0,
"grad_norm": 0.695533812046051,
"learning_rate": 2.25e-05,
"loss": 0.2387,
"step": 1342
},
{
"epoch": 11.0,
"eval_accuracy": 0.8596491228070176,
"eval_f1": 0.8306964902709584,
"eval_loss": 0.31659966707229614,
"eval_precision": 0.8306964902709584,
"eval_recall": 0.8306964902709584,
"eval_runtime": 5.0901,
"eval_samples_per_second": 78.388,
"eval_steps_per_second": 9.823,
"step": 1342
},
{
"epoch": 12.0,
"grad_norm": 12.895674705505371,
"learning_rate": 2e-05,
"loss": 0.2273,
"step": 1464
},
{
"epoch": 12.0,
"eval_accuracy": 0.8546365914786967,
"eval_f1": 0.8255172205802521,
"eval_loss": 0.3223665952682495,
"eval_precision": 0.8239495798319327,
"eval_recall": 0.8271503909801782,
"eval_runtime": 5.0669,
"eval_samples_per_second": 78.747,
"eval_steps_per_second": 9.868,
"step": 1464
},
{
"epoch": 13.0,
"grad_norm": 0.45775964856147766,
"learning_rate": 1.75e-05,
"loss": 0.2259,
"step": 1586
},
{
"epoch": 13.0,
"eval_accuracy": 0.8646616541353384,
"eval_f1": 0.8342105263157895,
"eval_loss": 0.3087916076183319,
"eval_precision": 0.8398085585585586,
"eval_recall": 0.82924168030551,
"eval_runtime": 5.0958,
"eval_samples_per_second": 78.3,
"eval_steps_per_second": 9.812,
"step": 1586
},
{
"epoch": 14.0,
"grad_norm": 12.224174499511719,
"learning_rate": 1.5e-05,
"loss": 0.2268,
"step": 1708
},
{
"epoch": 14.0,
"eval_accuracy": 0.8646616541353384,
"eval_f1": 0.8375505157126486,
"eval_loss": 0.3109127879142761,
"eval_precision": 0.8359243697478991,
"eval_recall": 0.8392434988179669,
"eval_runtime": 5.0692,
"eval_samples_per_second": 78.711,
"eval_steps_per_second": 9.864,
"step": 1708
},
{
"epoch": 15.0,
"grad_norm": 1.779151201248169,
"learning_rate": 1.25e-05,
"loss": 0.2226,
"step": 1830
},
{
"epoch": 15.0,
"eval_accuracy": 0.8721804511278195,
"eval_f1": 0.8484099018899409,
"eval_loss": 0.31573131680488586,
"eval_precision": 0.8430645161290322,
"eval_recall": 0.8545644662665939,
"eval_runtime": 5.1042,
"eval_samples_per_second": 78.171,
"eval_steps_per_second": 9.796,
"step": 1830
},
{
"epoch": 16.0,
"grad_norm": 5.361120700836182,
"learning_rate": 1e-05,
"loss": 0.2214,
"step": 1952
},
{
"epoch": 16.0,
"eval_accuracy": 0.8646616541353384,
"eval_f1": 0.8391129032258065,
"eval_loss": 0.3111570477485657,
"eval_precision": 0.8345705196182396,
"eval_recall": 0.8442444080741953,
"eval_runtime": 5.0563,
"eval_samples_per_second": 78.912,
"eval_steps_per_second": 9.889,
"step": 1952
},
{
"epoch": 17.0,
"grad_norm": 7.201449871063232,
"learning_rate": 7.5e-06,
"loss": 0.2148,
"step": 2074
},
{
"epoch": 17.0,
"eval_accuracy": 0.8646616541353384,
"eval_f1": 0.8367430441898527,
"eval_loss": 0.3018483519554138,
"eval_precision": 0.8367430441898527,
"eval_recall": 0.8367430441898527,
"eval_runtime": 5.1148,
"eval_samples_per_second": 78.008,
"eval_steps_per_second": 9.775,
"step": 2074
},
{
"epoch": 18.0,
"grad_norm": 4.3120012283325195,
"learning_rate": 5e-06,
"loss": 0.2088,
"step": 2196
},
{
"epoch": 18.0,
"eval_accuracy": 0.8621553884711779,
"eval_f1": 0.8372817261706151,
"eval_loss": 0.31123366951942444,
"eval_precision": 0.8308913308913308,
"eval_recall": 0.8449718130569195,
"eval_runtime": 5.0776,
"eval_samples_per_second": 78.58,
"eval_steps_per_second": 9.847,
"step": 2196
},
{
"epoch": 19.0,
"grad_norm": 4.43890380859375,
"learning_rate": 2.5e-06,
"loss": 0.2116,
"step": 2318
},
{
"epoch": 19.0,
"eval_accuracy": 0.8596491228070176,
"eval_f1": 0.8315338681464504,
"eval_loss": 0.302460640668869,
"eval_precision": 0.8299369747899159,
"eval_recall": 0.8331969448990726,
"eval_runtime": 5.0766,
"eval_samples_per_second": 78.596,
"eval_steps_per_second": 9.849,
"step": 2318
},
{
"epoch": 20.0,
"grad_norm": 7.140255928039551,
"learning_rate": 0.0,
"loss": 0.2099,
"step": 2440
},
{
"epoch": 20.0,
"eval_accuracy": 0.8646616541353384,
"eval_f1": 0.8375505157126486,
"eval_loss": 0.30324476957321167,
"eval_precision": 0.8359243697478991,
"eval_recall": 0.8392434988179669,
"eval_runtime": 5.0544,
"eval_samples_per_second": 78.942,
"eval_steps_per_second": 9.892,
"step": 2440
},
{
"epoch": 20.0,
"step": 2440,
"total_flos": 7635661149264000.0,
"train_loss": 0.28240973284987153,
"train_runtime": 1940.7402,
"train_samples_per_second": 37.491,
"train_steps_per_second": 1.257
}
],
"logging_steps": 500,
"max_steps": 2440,
"num_input_tokens_seen": 0,
"num_train_epochs": 20,
"save_steps": 500,
"total_flos": 7635661149264000.0,
"train_batch_size": 30,
"trial_name": null,
"trial_params": null
}