LamaDiab's picture
Training checkpoint - Epoch 1, Step 18994
a747335 verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.999158337716991,
"eval_steps": 2000,
"global_step": 18994,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.00010529640939243972,
"grad_norm": 6.751945495605469,
"learning_rate": 0.0,
"loss": 2.8442,
"step": 1
},
{
"epoch": 0.21059281878487943,
"grad_norm": 4.618383884429932,
"learning_rate": 6.315290648694187e-06,
"loss": 2.5015,
"step": 2000
},
{
"epoch": 0.21059281878487943,
"eval_cosine_accuracy": 0.9469176530838013,
"eval_loss": 0.7108581066131592,
"eval_runtime": 24.9028,
"eval_samples_per_second": 379.756,
"eval_steps_per_second": 1.486,
"step": 2000
},
{
"epoch": 0.42118563756975885,
"grad_norm": 4.100494861602783,
"learning_rate": 1.2630581297388374e-05,
"loss": 1.8564,
"step": 4000
},
{
"epoch": 0.42118563756975885,
"eval_cosine_accuracy": 0.9481865167617798,
"eval_loss": 0.6932559013366699,
"eval_runtime": 25.2131,
"eval_samples_per_second": 375.083,
"eval_steps_per_second": 1.467,
"step": 4000
},
{
"epoch": 0.6317784563546383,
"grad_norm": 4.006742477416992,
"learning_rate": 1.8949031171019377e-05,
"loss": 1.504,
"step": 6000
},
{
"epoch": 0.6317784563546383,
"eval_cosine_accuracy": 0.9519932270050049,
"eval_loss": 0.6632474064826965,
"eval_runtime": 25.5415,
"eval_samples_per_second": 370.261,
"eval_steps_per_second": 1.449,
"step": 6000
},
{
"epoch": 0.8423712751395177,
"grad_norm": 3.7652177810668945,
"learning_rate": 2.5264321819713565e-05,
"loss": 1.2874,
"step": 8000
},
{
"epoch": 0.8423712751395177,
"eval_cosine_accuracy": 0.9577032923698425,
"eval_loss": 0.6434259414672852,
"eval_runtime": 25.6225,
"eval_samples_per_second": 369.089,
"eval_steps_per_second": 1.444,
"step": 8000
},
{
"epoch": 1.0529195160441873,
"grad_norm": 3.5891263484954834,
"learning_rate": 2.9795333581180082e-05,
"loss": 1.1986,
"step": 10000
},
{
"epoch": 1.0529195160441873,
"eval_cosine_accuracy": 0.9589722156524658,
"eval_loss": 0.6360689401626587,
"eval_runtime": 25.8862,
"eval_samples_per_second": 365.33,
"eval_steps_per_second": 1.429,
"step": 10000
},
{
"epoch": 1.263335086796423,
"grad_norm": 3.1852927207946777,
"learning_rate": 2.516095252036212e-05,
"loss": 1.0185,
"step": 12000
},
{
"epoch": 1.263335086796423,
"eval_cosine_accuracy": 0.961192786693573,
"eval_loss": 0.6109231114387512,
"eval_runtime": 25.7475,
"eval_samples_per_second": 367.298,
"eval_steps_per_second": 1.437,
"step": 12000
},
{
"epoch": 1.4737506575486585,
"grad_norm": 3.5387814044952393,
"learning_rate": 1.624389485225718e-05,
"loss": 0.945,
"step": 14000
},
{
"epoch": 1.4737506575486585,
"eval_cosine_accuracy": 0.9624616503715515,
"eval_loss": 0.5934072732925415,
"eval_runtime": 25.7367,
"eval_samples_per_second": 367.451,
"eval_steps_per_second": 1.438,
"step": 14000
},
{
"epoch": 1.6841662283008942,
"grad_norm": 3.443584680557251,
"learning_rate": 6.802555688395712e-06,
"loss": 0.9076,
"step": 16000
},
{
"epoch": 1.6841662283008942,
"eval_cosine_accuracy": 0.9616157412528992,
"eval_loss": 0.5919129252433777,
"eval_runtime": 25.6697,
"eval_samples_per_second": 368.411,
"eval_steps_per_second": 1.441,
"step": 16000
},
{
"epoch": 1.89458179905313,
"grad_norm": 3.5262327194213867,
"learning_rate": 8.163062833430229e-07,
"loss": 0.8964,
"step": 18000
},
{
"epoch": 1.89458179905313,
"eval_cosine_accuracy": 0.9633076190948486,
"eval_loss": 0.5839827060699463,
"eval_runtime": 25.6367,
"eval_samples_per_second": 368.885,
"eval_steps_per_second": 1.443,
"step": 18000
}
],
"logging_steps": 2000,
"max_steps": 18994,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 0.0,
"train_batch_size": 256,
"trial_name": null,
"trial_params": null
}