LamaDiab's picture
Training in progress, epoch 5, checkpoint
3d232cd verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 5.0,
"eval_steps": 1000,
"global_step": 13798,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.00036258158085569254,
"grad_norm": 7.228061676025391,
"learning_rate": 0.0,
"loss": 4.1707,
"step": 1
},
{
"epoch": 0.36258158085569253,
"grad_norm": 5.754242897033691,
"learning_rate": 1.5090634441087614e-05,
"loss": 3.3117,
"step": 1000
},
{
"epoch": 0.36258158085569253,
"eval_cosine_accuracy": 0.9497318267822266,
"eval_loss": 0.5286146402359009,
"eval_runtime": 34.6121,
"eval_samples_per_second": 274.73,
"eval_steps_per_second": 1.098,
"step": 1000
},
{
"epoch": 0.7251631617113851,
"grad_norm": 7.097472190856934,
"learning_rate": 3.01963746223565e-05,
"loss": 1.9469,
"step": 2000
},
{
"epoch": 0.7251631617113851,
"eval_cosine_accuracy": 0.9579346179962158,
"eval_loss": 0.4524660110473633,
"eval_runtime": 33.9797,
"eval_samples_per_second": 279.843,
"eval_steps_per_second": 1.118,
"step": 2000
},
{
"epoch": 1.0876811594202898,
"grad_norm": 6.607709884643555,
"learning_rate": 4.530211480362538e-05,
"loss": 1.4282,
"step": 3000
},
{
"epoch": 1.0876811594202898,
"eval_cosine_accuracy": 0.9617204666137695,
"eval_loss": 0.4302012026309967,
"eval_runtime": 34.5566,
"eval_samples_per_second": 275.172,
"eval_steps_per_second": 1.1,
"step": 3000
},
{
"epoch": 1.45,
"grad_norm": 5.233509540557861,
"learning_rate": 4.739764314851186e-05,
"loss": 1.556,
"step": 4000
},
{
"epoch": 1.45,
"eval_cosine_accuracy": 0.9664528369903564,
"eval_loss": 0.4086464047431946,
"eval_runtime": 33.7595,
"eval_samples_per_second": 281.669,
"eval_steps_per_second": 1.126,
"step": 4000
},
{
"epoch": 1.8123188405797102,
"grad_norm": 5.165083408355713,
"learning_rate": 4.362441456413356e-05,
"loss": 1.3647,
"step": 5000
},
{
"epoch": 1.8123188405797102,
"eval_cosine_accuracy": 0.9669786691665649,
"eval_loss": 0.4053584337234497,
"eval_runtime": 34.8117,
"eval_samples_per_second": 273.155,
"eval_steps_per_second": 1.092,
"step": 5000
},
{
"epoch": 2.17463768115942,
"grad_norm": 4.441340446472168,
"learning_rate": 3.985118597975525e-05,
"loss": 1.2206,
"step": 6000
},
{
"epoch": 2.17463768115942,
"eval_cosine_accuracy": 0.9669786691665649,
"eval_loss": 0.4014289677143097,
"eval_runtime": 34.453,
"eval_samples_per_second": 275.999,
"eval_steps_per_second": 1.103,
"step": 6000
},
{
"epoch": 2.5369565217391306,
"grad_norm": 4.254669666290283,
"learning_rate": 3.607418038978698e-05,
"loss": 1.1389,
"step": 7000
},
{
"epoch": 2.5369565217391306,
"eval_cosine_accuracy": 0.9693974256515503,
"eval_loss": 0.3999493420124054,
"eval_runtime": 33.7947,
"eval_samples_per_second": 281.376,
"eval_steps_per_second": 1.124,
"step": 7000
},
{
"epoch": 2.8992753623188405,
"grad_norm": 4.167431354522705,
"learning_rate": 3.229717479981871e-05,
"loss": 1.1119,
"step": 8000
},
{
"epoch": 2.8992753623188405,
"eval_cosine_accuracy": 0.9703438878059387,
"eval_loss": 0.3831478953361511,
"eval_runtime": 34.0399,
"eval_samples_per_second": 279.348,
"eval_steps_per_second": 1.116,
"step": 8000
},
{
"epoch": 3.261594202898551,
"grad_norm": 5.115843296051025,
"learning_rate": 2.85239462154404e-05,
"loss": 1.0188,
"step": 9000
},
{
"epoch": 3.261594202898551,
"eval_cosine_accuracy": 0.968766450881958,
"eval_loss": 0.3900427520275116,
"eval_runtime": 33.991,
"eval_samples_per_second": 279.751,
"eval_steps_per_second": 1.118,
"step": 9000
},
{
"epoch": 3.623913043478261,
"grad_norm": 5.5258989334106445,
"learning_rate": 2.4746940625472125e-05,
"loss": 1.0139,
"step": 10000
},
{
"epoch": 3.623913043478261,
"eval_cosine_accuracy": 0.970974862575531,
"eval_loss": 0.3912922441959381,
"eval_runtime": 34.0091,
"eval_samples_per_second": 279.601,
"eval_steps_per_second": 1.117,
"step": 10000
},
{
"epoch": 3.986231884057971,
"grad_norm": 5.09008264541626,
"learning_rate": 2.0969935035503853e-05,
"loss": 0.9604,
"step": 11000
},
{
"epoch": 3.986231884057971,
"eval_cosine_accuracy": 0.9716058373451233,
"eval_loss": 0.3870432376861572,
"eval_runtime": 35.0845,
"eval_samples_per_second": 271.031,
"eval_steps_per_second": 1.083,
"step": 11000
},
{
"epoch": 4.348550724637681,
"grad_norm": 3.954172134399414,
"learning_rate": 1.719292944553558e-05,
"loss": 0.9293,
"step": 12000
},
{
"epoch": 4.348550724637681,
"eval_cosine_accuracy": 0.9701335430145264,
"eval_loss": 0.3847765326499939,
"eval_runtime": 33.706,
"eval_samples_per_second": 282.116,
"eval_steps_per_second": 1.127,
"step": 12000
},
{
"epoch": 4.710869565217392,
"grad_norm": 4.742279529571533,
"learning_rate": 1.3419700861157275e-05,
"loss": 0.9132,
"step": 13000
},
{
"epoch": 4.710869565217392,
"eval_cosine_accuracy": 0.9704490303993225,
"eval_loss": 0.3883793354034424,
"eval_runtime": 33.8101,
"eval_samples_per_second": 281.248,
"eval_steps_per_second": 1.124,
"step": 13000
}
],
"logging_steps": 1000,
"max_steps": 16548,
"num_input_tokens_seen": 0,
"num_train_epochs": 6,
"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": 0.0,
"train_batch_size": 256,
"trial_name": null,
"trial_params": null
}