felcas93's picture
Upload folder using huggingface_hub
8cd4774 verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.4814814814814814,
"eval_steps": 500,
"global_step": 1000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"entropy": 2.1715362322330476,
"epoch": 0.07407407407407407,
"grad_norm": 1.0598933696746826,
"learning_rate": 8.032786885245902e-05,
"loss": 2.0077,
"mean_token_accuracy": 0.5798640113323927,
"num_tokens": 338396.0,
"step": 50
},
{
"entropy": 0.6553284931182861,
"epoch": 0.14814814814814814,
"grad_norm": 0.3852575719356537,
"learning_rate": 9.990765991730485e-05,
"loss": 0.5993,
"mean_token_accuracy": 0.8612996307015419,
"num_tokens": 677239.0,
"step": 100
},
{
"entropy": 0.4204328820481896,
"epoch": 0.2222222222222222,
"grad_norm": 0.2863098680973053,
"learning_rate": 9.950545603782162e-05,
"loss": 0.4172,
"mean_token_accuracy": 0.9052096186578273,
"num_tokens": 1015420.0,
"step": 150
},
{
"entropy": 0.3820256270095706,
"epoch": 0.2962962962962963,
"grad_norm": 0.2698630690574646,
"learning_rate": 9.878674879048427e-05,
"loss": 0.383,
"mean_token_accuracy": 0.9129502369463444,
"num_tokens": 1355048.0,
"step": 200
},
{
"entropy": 0.37178467601537707,
"epoch": 0.37037037037037035,
"grad_norm": 0.21257849037647247,
"learning_rate": 9.775613308830824e-05,
"loss": 0.37,
"mean_token_accuracy": 0.9151540066301823,
"num_tokens": 1691649.0,
"step": 250
},
{
"entropy": 0.36766253888607026,
"epoch": 0.4444444444444444,
"grad_norm": 0.31453582644462585,
"learning_rate": 9.642019796948866e-05,
"loss": 0.3634,
"mean_token_accuracy": 0.9162409096956253,
"num_tokens": 2029267.0,
"step": 300
},
{
"entropy": 0.35622088231146337,
"epoch": 0.5185185185185185,
"grad_norm": 0.20113833248615265,
"learning_rate": 9.478748447168449e-05,
"loss": 0.3533,
"mean_token_accuracy": 0.9183417546749115,
"num_tokens": 2369465.0,
"step": 350
},
{
"entropy": 0.3494216964393854,
"epoch": 0.5925925925925926,
"grad_norm": 0.20226770639419556,
"learning_rate": 9.28684310265789e-05,
"loss": 0.3492,
"mean_token_accuracy": 0.919527986496687,
"num_tokens": 2707235.0,
"step": 400
},
{
"entropy": 0.3433630639687181,
"epoch": 0.6666666666666666,
"grad_norm": 0.1721702516078949,
"learning_rate": 9.067530672382544e-05,
"loss": 0.3453,
"mean_token_accuracy": 0.9204271128773689,
"num_tokens": 3041282.0,
"step": 450
},
{
"entropy": 0.3465565311536193,
"epoch": 0.7407407407407407,
"grad_norm": 0.1957043558359146,
"learning_rate": 8.822213287104348e-05,
"loss": 0.3483,
"mean_token_accuracy": 0.9200405342876912,
"num_tokens": 3378157.0,
"step": 500
},
{
"entropy": 0.34500927191227676,
"epoch": 0.8148148148148148,
"grad_norm": 0.1682814359664917,
"learning_rate": 8.552459335135381e-05,
"loss": 0.3466,
"mean_token_accuracy": 0.9210821086168289,
"num_tokens": 3717487.0,
"step": 550
},
{
"entropy": 0.33874930143356324,
"epoch": 0.8888888888888888,
"grad_norm": 0.1756315678358078,
"learning_rate": 8.259993435156559e-05,
"loss": 0.3406,
"mean_token_accuracy": 0.9231470887362957,
"num_tokens": 4056814.0,
"step": 600
},
{
"entropy": 0.3372995613142848,
"epoch": 0.9629629629629629,
"grad_norm": 0.185526043176651,
"learning_rate": 7.946685410208296e-05,
"loss": 0.3378,
"mean_token_accuracy": 0.924960307776928,
"num_tokens": 4398736.0,
"step": 650
},
{
"entropy": 0.3282011279836297,
"epoch": 1.037037037037037,
"grad_norm": 0.23889201879501343,
"learning_rate": 7.614538333345735e-05,
"loss": 0.3293,
"mean_token_accuracy": 0.9266741496324539,
"num_tokens": 4737915.0,
"step": 700
},
{
"entropy": 0.32703890234231947,
"epoch": 1.1111111111111112,
"grad_norm": 0.21601562201976776,
"learning_rate": 7.265675721386285e-05,
"loss": 0.3275,
"mean_token_accuracy": 0.9279554469883442,
"num_tokens": 5074721.0,
"step": 750
},
{
"entropy": 0.3243879374489188,
"epoch": 1.1851851851851851,
"grad_norm": 0.22092069685459137,
"learning_rate": 6.902327958623736e-05,
"loss": 0.3244,
"mean_token_accuracy": 0.9288445146381855,
"num_tokens": 5413515.0,
"step": 800
},
{
"entropy": 0.3191816185042262,
"epoch": 1.2592592592592593,
"grad_norm": 0.2003597766160965,
"learning_rate": 6.526818037306228e-05,
"loss": 0.3197,
"mean_token_accuracy": 0.9303379128873348,
"num_tokens": 5751965.0,
"step": 850
},
{
"entropy": 0.311707403101027,
"epoch": 1.3333333333333333,
"grad_norm": 0.1664246916770935,
"learning_rate": 6.14154670604355e-05,
"loss": 0.3122,
"mean_token_accuracy": 0.9324613013863563,
"num_tokens": 6087993.0,
"step": 900
},
{
"entropy": 0.31203486569225786,
"epoch": 1.4074074074074074,
"grad_norm": 0.25155216455459595,
"learning_rate": 5.7489771210944564e-05,
"loss": 0.3129,
"mean_token_accuracy": 0.932486515045166,
"num_tokens": 6425349.0,
"step": 950
},
{
"entropy": 0.31312834514304994,
"epoch": 1.4814814814814814,
"grad_norm": 0.2299806922674179,
"learning_rate": 5.351619098663021e-05,
"loss": 0.3139,
"mean_token_accuracy": 0.9324578355252743,
"num_tokens": 6762060.0,
"step": 1000
}
],
"logging_steps": 50,
"max_steps": 2025,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 2.8246929365127168e+17,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}