GaetanMichelet's picture
Model save
eea457b verified
raw
history blame
13.2 kB
{
"best_metric": 1.2883715629577637,
"best_model_checkpoint": "data/Gemma-2-2B_task-1_180-samples_config-2/checkpoint-51",
"epoch": 12.941176470588236,
"eval_steps": 500,
"global_step": 110,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.11764705882352941,
"grad_norm": 2.12469220161438,
"learning_rate": 2.5e-06,
"loss": 2.2628,
"step": 1
},
{
"epoch": 0.23529411764705882,
"grad_norm": 2.373323917388916,
"learning_rate": 5e-06,
"loss": 2.3042,
"step": 2
},
{
"epoch": 0.47058823529411764,
"grad_norm": 2.6006672382354736,
"learning_rate": 1e-05,
"loss": 2.3721,
"step": 4
},
{
"epoch": 0.7058823529411765,
"grad_norm": 2.6902971267700195,
"learning_rate": 1.5e-05,
"loss": 2.4244,
"step": 6
},
{
"epoch": 0.9411764705882353,
"grad_norm": 2.508831262588501,
"learning_rate": 2e-05,
"loss": 2.3482,
"step": 8
},
{
"epoch": 0.9411764705882353,
"eval_loss": 2.2692689895629883,
"eval_runtime": 3.3884,
"eval_samples_per_second": 10.625,
"eval_steps_per_second": 10.625,
"step": 8
},
{
"epoch": 1.1764705882352942,
"grad_norm": 2.0970139503479004,
"learning_rate": 2.5e-05,
"loss": 2.2452,
"step": 10
},
{
"epoch": 1.4117647058823528,
"grad_norm": 1.9512650966644287,
"learning_rate": 3e-05,
"loss": 2.1602,
"step": 12
},
{
"epoch": 1.6470588235294117,
"grad_norm": 2.0027029514312744,
"learning_rate": 3.5e-05,
"loss": 2.0043,
"step": 14
},
{
"epoch": 1.8823529411764706,
"grad_norm": 1.7758914232254028,
"learning_rate": 4e-05,
"loss": 1.7809,
"step": 16
},
{
"epoch": 2.0,
"eval_loss": 1.6932330131530762,
"eval_runtime": 3.3144,
"eval_samples_per_second": 10.862,
"eval_steps_per_second": 10.862,
"step": 17
},
{
"epoch": 2.1176470588235294,
"grad_norm": 1.2240898609161377,
"learning_rate": 4.5e-05,
"loss": 1.6164,
"step": 18
},
{
"epoch": 2.3529411764705883,
"grad_norm": 1.2644752264022827,
"learning_rate": 5e-05,
"loss": 1.5868,
"step": 20
},
{
"epoch": 2.588235294117647,
"grad_norm": 0.9468474984169006,
"learning_rate": 5.500000000000001e-05,
"loss": 1.5945,
"step": 22
},
{
"epoch": 2.8235294117647056,
"grad_norm": 0.8889049291610718,
"learning_rate": 6e-05,
"loss": 1.553,
"step": 24
},
{
"epoch": 2.9411764705882355,
"eval_loss": 1.5041224956512451,
"eval_runtime": 3.3098,
"eval_samples_per_second": 10.877,
"eval_steps_per_second": 10.877,
"step": 25
},
{
"epoch": 3.0588235294117645,
"grad_norm": 0.966974675655365,
"learning_rate": 6.500000000000001e-05,
"loss": 1.4543,
"step": 26
},
{
"epoch": 3.2941176470588234,
"grad_norm": 0.7903351783752441,
"learning_rate": 7e-05,
"loss": 1.3984,
"step": 28
},
{
"epoch": 3.5294117647058822,
"grad_norm": 0.7399197220802307,
"learning_rate": 7.500000000000001e-05,
"loss": 1.3838,
"step": 30
},
{
"epoch": 3.764705882352941,
"grad_norm": 0.7915351390838623,
"learning_rate": 8e-05,
"loss": 1.2771,
"step": 32
},
{
"epoch": 4.0,
"grad_norm": 0.8471887111663818,
"learning_rate": 8.5e-05,
"loss": 1.2823,
"step": 34
},
{
"epoch": 4.0,
"eval_loss": 1.3677548170089722,
"eval_runtime": 3.405,
"eval_samples_per_second": 10.573,
"eval_steps_per_second": 10.573,
"step": 34
},
{
"epoch": 4.235294117647059,
"grad_norm": 0.7967553734779358,
"learning_rate": 9e-05,
"loss": 1.2545,
"step": 36
},
{
"epoch": 4.470588235294118,
"grad_norm": 0.8264508843421936,
"learning_rate": 9.5e-05,
"loss": 1.1629,
"step": 38
},
{
"epoch": 4.705882352941177,
"grad_norm": 0.9275144338607788,
"learning_rate": 0.0001,
"loss": 1.1813,
"step": 40
},
{
"epoch": 4.9411764705882355,
"grad_norm": 0.9521178603172302,
"learning_rate": 9.999238475781957e-05,
"loss": 1.1298,
"step": 42
},
{
"epoch": 4.9411764705882355,
"eval_loss": 1.3192731142044067,
"eval_runtime": 3.1829,
"eval_samples_per_second": 11.31,
"eval_steps_per_second": 11.31,
"step": 42
},
{
"epoch": 5.176470588235294,
"grad_norm": 0.8590582609176636,
"learning_rate": 9.99695413509548e-05,
"loss": 1.0744,
"step": 44
},
{
"epoch": 5.411764705882353,
"grad_norm": 0.8991239666938782,
"learning_rate": 9.99314767377287e-05,
"loss": 1.0672,
"step": 46
},
{
"epoch": 5.647058823529412,
"grad_norm": 1.0707749128341675,
"learning_rate": 9.987820251299122e-05,
"loss": 0.9493,
"step": 48
},
{
"epoch": 5.882352941176471,
"grad_norm": 1.1669797897338867,
"learning_rate": 9.980973490458728e-05,
"loss": 1.027,
"step": 50
},
{
"epoch": 6.0,
"eval_loss": 1.2883715629577637,
"eval_runtime": 3.1944,
"eval_samples_per_second": 11.27,
"eval_steps_per_second": 11.27,
"step": 51
},
{
"epoch": 6.117647058823529,
"grad_norm": 0.9919552803039551,
"learning_rate": 9.972609476841367e-05,
"loss": 0.9344,
"step": 52
},
{
"epoch": 6.352941176470588,
"grad_norm": 0.9965695738792419,
"learning_rate": 9.962730758206611e-05,
"loss": 0.8502,
"step": 54
},
{
"epoch": 6.588235294117647,
"grad_norm": 1.1732594966888428,
"learning_rate": 9.951340343707852e-05,
"loss": 0.8699,
"step": 56
},
{
"epoch": 6.823529411764706,
"grad_norm": 1.213049292564392,
"learning_rate": 9.938441702975689e-05,
"loss": 0.8219,
"step": 58
},
{
"epoch": 6.9411764705882355,
"eval_loss": 1.3589649200439453,
"eval_runtime": 3.135,
"eval_samples_per_second": 11.483,
"eval_steps_per_second": 11.483,
"step": 59
},
{
"epoch": 7.0588235294117645,
"grad_norm": 1.3312314748764038,
"learning_rate": 9.924038765061042e-05,
"loss": 0.7914,
"step": 60
},
{
"epoch": 7.294117647058823,
"grad_norm": 1.2881100177764893,
"learning_rate": 9.908135917238321e-05,
"loss": 0.713,
"step": 62
},
{
"epoch": 7.529411764705882,
"grad_norm": 1.4042942523956299,
"learning_rate": 9.890738003669029e-05,
"loss": 0.6519,
"step": 64
},
{
"epoch": 7.764705882352941,
"grad_norm": 1.5494970083236694,
"learning_rate": 9.871850323926177e-05,
"loss": 0.5786,
"step": 66
},
{
"epoch": 8.0,
"grad_norm": 1.7536710500717163,
"learning_rate": 9.851478631379982e-05,
"loss": 0.6244,
"step": 68
},
{
"epoch": 8.0,
"eval_loss": 1.5295920372009277,
"eval_runtime": 3.1858,
"eval_samples_per_second": 11.3,
"eval_steps_per_second": 11.3,
"step": 68
},
{
"epoch": 8.235294117647058,
"grad_norm": 1.5150338411331177,
"learning_rate": 9.829629131445342e-05,
"loss": 0.4796,
"step": 70
},
{
"epoch": 8.470588235294118,
"grad_norm": 1.9343677759170532,
"learning_rate": 9.806308479691595e-05,
"loss": 0.5302,
"step": 72
},
{
"epoch": 8.705882352941176,
"grad_norm": 2.203670024871826,
"learning_rate": 9.781523779815179e-05,
"loss": 0.4138,
"step": 74
},
{
"epoch": 8.941176470588236,
"grad_norm": 2.373121738433838,
"learning_rate": 9.755282581475769e-05,
"loss": 0.398,
"step": 76
},
{
"epoch": 8.941176470588236,
"eval_loss": 1.7941030263900757,
"eval_runtime": 3.121,
"eval_samples_per_second": 11.535,
"eval_steps_per_second": 11.535,
"step": 76
},
{
"epoch": 9.176470588235293,
"grad_norm": 1.649604320526123,
"learning_rate": 9.727592877996585e-05,
"loss": 0.3333,
"step": 78
},
{
"epoch": 9.411764705882353,
"grad_norm": 2.0595147609710693,
"learning_rate": 9.698463103929542e-05,
"loss": 0.2576,
"step": 80
},
{
"epoch": 9.647058823529411,
"grad_norm": 2.2983481884002686,
"learning_rate": 9.667902132486009e-05,
"loss": 0.2559,
"step": 82
},
{
"epoch": 9.882352941176471,
"grad_norm": 2.6052489280700684,
"learning_rate": 9.635919272833938e-05,
"loss": 0.2704,
"step": 84
},
{
"epoch": 10.0,
"eval_loss": 2.2475032806396484,
"eval_runtime": 3.119,
"eval_samples_per_second": 11.542,
"eval_steps_per_second": 11.542,
"step": 85
},
{
"epoch": 10.117647058823529,
"grad_norm": 2.4219186305999756,
"learning_rate": 9.602524267262203e-05,
"loss": 0.2105,
"step": 86
},
{
"epoch": 10.352941176470589,
"grad_norm": 1.5558136701583862,
"learning_rate": 9.567727288213005e-05,
"loss": 0.1226,
"step": 88
},
{
"epoch": 10.588235294117647,
"grad_norm": 2.0058951377868652,
"learning_rate": 9.53153893518325e-05,
"loss": 0.1645,
"step": 90
},
{
"epoch": 10.823529411764707,
"grad_norm": 1.9732674360275269,
"learning_rate": 9.493970231495835e-05,
"loss": 0.1592,
"step": 92
},
{
"epoch": 10.941176470588236,
"eval_loss": 2.5631463527679443,
"eval_runtime": 3.2,
"eval_samples_per_second": 11.25,
"eval_steps_per_second": 11.25,
"step": 93
},
{
"epoch": 11.058823529411764,
"grad_norm": 2.4981675148010254,
"learning_rate": 9.45503262094184e-05,
"loss": 0.1372,
"step": 94
},
{
"epoch": 11.294117647058824,
"grad_norm": 1.9884262084960938,
"learning_rate": 9.414737964294636e-05,
"loss": 0.0687,
"step": 96
},
{
"epoch": 11.529411764705882,
"grad_norm": 1.781720519065857,
"learning_rate": 9.373098535696979e-05,
"loss": 0.0861,
"step": 98
},
{
"epoch": 11.764705882352942,
"grad_norm": 2.489872932434082,
"learning_rate": 9.330127018922194e-05,
"loss": 0.0753,
"step": 100
},
{
"epoch": 12.0,
"grad_norm": 3.094914674758911,
"learning_rate": 9.285836503510562e-05,
"loss": 0.0797,
"step": 102
},
{
"epoch": 12.0,
"eval_loss": 2.784686326980591,
"eval_runtime": 3.1247,
"eval_samples_per_second": 11.521,
"eval_steps_per_second": 11.521,
"step": 102
},
{
"epoch": 12.235294117647058,
"grad_norm": 1.77165949344635,
"learning_rate": 9.24024048078213e-05,
"loss": 0.0486,
"step": 104
},
{
"epoch": 12.470588235294118,
"grad_norm": 1.576274037361145,
"learning_rate": 9.193352839727121e-05,
"loss": 0.0495,
"step": 106
},
{
"epoch": 12.705882352941176,
"grad_norm": 1.8895446062088013,
"learning_rate": 9.145187862775209e-05,
"loss": 0.0434,
"step": 108
},
{
"epoch": 12.941176470588236,
"grad_norm": 1.6305781602859497,
"learning_rate": 9.09576022144496e-05,
"loss": 0.0459,
"step": 110
},
{
"epoch": 12.941176470588236,
"eval_loss": 2.944411277770996,
"eval_runtime": 3.1195,
"eval_samples_per_second": 11.54,
"eval_steps_per_second": 11.54,
"step": 110
},
{
"epoch": 12.941176470588236,
"step": 110,
"total_flos": 7344862462476288.0,
"train_loss": 0.9215991622006351,
"train_runtime": 758.0034,
"train_samples_per_second": 8.971,
"train_steps_per_second": 0.528
}
],
"logging_steps": 2,
"max_steps": 400,
"num_input_tokens_seen": 0,
"num_train_epochs": 50,
"save_steps": 25,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 7,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 7344862462476288.0,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}