sanchit-gandhi's picture
End of training
10bf770 verified
raw
history blame
4.06 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.9690721649484537,
"eval_steps": 30,
"global_step": 18,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.16494845360824742,
"grad_norm": 1.6202701330184937,
"learning_rate": 2.8333333333333332e-05,
"loss": 10.1046,
"step": 1
},
{
"epoch": 0.32989690721649484,
"grad_norm": 1.7503541707992554,
"learning_rate": 2.6666666666666667e-05,
"loss": 10.2343,
"step": 2
},
{
"epoch": 0.4948453608247423,
"grad_norm": 1.7385201454162598,
"learning_rate": 2.5e-05,
"loss": 10.0556,
"step": 3
},
{
"epoch": 0.6597938144329897,
"grad_norm": 2.09757399559021,
"learning_rate": 2.3333333333333336e-05,
"loss": 10.1984,
"step": 4
},
{
"epoch": 0.8247422680412371,
"grad_norm": 2.21995210647583,
"learning_rate": 2.1666666666666667e-05,
"loss": 10.0701,
"step": 5
},
{
"epoch": 0.9896907216494846,
"grad_norm": 2.1417298316955566,
"learning_rate": 1.9999999999999998e-05,
"loss": 9.8698,
"step": 6
},
{
"epoch": 1.1546391752577319,
"grad_norm": 2.234846591949463,
"learning_rate": 1.8333333333333336e-05,
"loss": 9.9373,
"step": 7
},
{
"epoch": 1.3195876288659794,
"grad_norm": 2.584611654281616,
"learning_rate": 1.6666666666666667e-05,
"loss": 9.912,
"step": 8
},
{
"epoch": 1.4845360824742269,
"grad_norm": 2.8143157958984375,
"learning_rate": 1.5e-05,
"loss": 9.9623,
"step": 9
},
{
"epoch": 1.6494845360824741,
"grad_norm": 2.415213108062744,
"learning_rate": 1.3333333333333333e-05,
"loss": 9.7267,
"step": 10
},
{
"epoch": 1.8144329896907216,
"grad_norm": 2.538069725036621,
"learning_rate": 1.1666666666666668e-05,
"loss": 9.7572,
"step": 11
},
{
"epoch": 1.9793814432989691,
"grad_norm": 2.8651926517486572,
"learning_rate": 9.999999999999999e-06,
"loss": 9.6861,
"step": 12
},
{
"epoch": 2.1443298969072164,
"grad_norm": 2.910115957260132,
"learning_rate": 8.333333333333334e-06,
"loss": 9.7232,
"step": 13
},
{
"epoch": 2.3092783505154637,
"grad_norm": 3.0204553604125977,
"learning_rate": 6.666666666666667e-06,
"loss": 9.6253,
"step": 14
},
{
"epoch": 2.4742268041237114,
"grad_norm": 3.151297092437744,
"learning_rate": 4.9999999999999996e-06,
"loss": 9.6825,
"step": 15
},
{
"epoch": 2.6391752577319587,
"grad_norm": 3.1233134269714355,
"learning_rate": 3.3333333333333333e-06,
"loss": 9.5969,
"step": 16
},
{
"epoch": 2.804123711340206,
"grad_norm": 3.1847848892211914,
"learning_rate": 1.6666666666666667e-06,
"loss": 9.5601,
"step": 17
},
{
"epoch": 2.9690721649484537,
"grad_norm": 3.147383451461792,
"learning_rate": 0.0,
"loss": 9.5912,
"step": 18
},
{
"epoch": 2.9690721649484537,
"step": 18,
"total_flos": 212383098180048.0,
"train_loss": 9.84964762793647,
"train_runtime": 1795.9951,
"train_samples_per_second": 0.162,
"train_steps_per_second": 0.01
}
],
"logging_steps": 1.0,
"max_steps": 18,
"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": false,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 212383098180048.0,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}