mindfossil's picture
Upload folder using huggingface_hub
58c50d6 verified
Raw
History Blame Contribute Delete
4.01 kB
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 3.0,
"eval_steps": 500,
"global_step": 81,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"entropy": 1.180859375,
"epoch": 0.37037037037037035,
"grad_norm": 1.9087318181991577,
"learning_rate": 0.00019886154122075343,
"loss": 1.3855,
"mean_token_accuracy": 0.709491191804409,
"num_tokens": 20480.0,
"step": 10
},
{
"entropy": 0.77197265625,
"epoch": 0.7407407407407407,
"grad_norm": 1.5744595527648926,
"learning_rate": 0.00018990881137654258,
"loss": 0.8126,
"mean_token_accuracy": 0.8044520571827889,
"num_tokens": 40960.0,
"step": 20
},
{
"epoch": 1.0,
"eval_entropy": 0.666015625,
"eval_loss": 0.664973795413971,
"eval_mean_token_accuracy": 0.8258317112922668,
"eval_num_tokens": 55296.0,
"eval_runtime": 104.8748,
"eval_samples_per_second": 0.114,
"eval_steps_per_second": 0.019,
"step": 27
},
{
"entropy": 0.67705078125,
"epoch": 1.1111111111111112,
"grad_norm": 1.3851813077926636,
"learning_rate": 0.00017281409538757883,
"loss": 0.6667,
"mean_token_accuracy": 0.8270058631896973,
"num_tokens": 61440.0,
"step": 30
},
{
"entropy": 0.3906982421875,
"epoch": 1.4814814814814814,
"grad_norm": 1.8623592853546143,
"learning_rate": 0.00014912546110838775,
"loss": 0.3976,
"mean_token_accuracy": 0.8884540066123009,
"num_tokens": 81920.0,
"step": 40
},
{
"entropy": 0.4400634765625,
"epoch": 1.8518518518518519,
"grad_norm": 1.3342927694320679,
"learning_rate": 0.00012098811020648475,
"loss": 0.4118,
"mean_token_accuracy": 0.8866927579045296,
"num_tokens": 102400.0,
"step": 50
},
{
"epoch": 2.0,
"eval_entropy": 0.447265625,
"eval_loss": 0.594461977481842,
"eval_mean_token_accuracy": 0.8510273993015289,
"eval_num_tokens": 110592.0,
"eval_runtime": 158.7424,
"eval_samples_per_second": 0.076,
"eval_steps_per_second": 0.013,
"step": 54
},
{
"entropy": 0.3321044921875,
"epoch": 2.2222222222222223,
"grad_norm": 1.1872409582138062,
"learning_rate": 9.095011241703623e-05,
"loss": 0.2912,
"mean_token_accuracy": 0.9179549887776375,
"num_tokens": 122880.0,
"step": 60
},
{
"entropy": 0.24451904296875,
"epoch": 2.5925925925925926,
"grad_norm": 1.2892343997955322,
"learning_rate": 6.173165676349103e-05,
"loss": 0.237,
"mean_token_accuracy": 0.9271037086844445,
"num_tokens": 143360.0,
"step": 70
},
{
"entropy": 0.24892578125,
"epoch": 2.962962962962963,
"grad_norm": 1.2926205396652222,
"learning_rate": 3.597871595375121e-05,
"loss": 0.2154,
"mean_token_accuracy": 0.9361056685447693,
"num_tokens": 163840.0,
"step": 80
},
{
"epoch": 3.0,
"eval_entropy": 0.3505859375,
"eval_loss": 0.6058798432350159,
"eval_mean_token_accuracy": 0.852372795343399,
"eval_num_tokens": 165888.0,
"eval_runtime": 453.1986,
"eval_samples_per_second": 0.026,
"eval_steps_per_second": 0.004,
"step": 81
}
],
"logging_steps": 10,
"max_steps": 108,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"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": 7122317205307392.0,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}