classifier-camembert / trainer_state.json
DioulaD's picture
DioulaD/classifier-camembert
670f51d verified
raw
history blame
No virus
2.24 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 80.0,
"eval_steps": 100,
"global_step": 400,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 20.0,
"grad_norm": 0.009852898307144642,
"learning_rate": 0.00015000000000000001,
"loss": 0.1022,
"step": 100
},
{
"epoch": 20.0,
"eval_accuracy": 1.0,
"eval_loss": 0.0008228308288380504,
"eval_runtime": 0.0347,
"eval_samples_per_second": 519.229,
"eval_steps_per_second": 57.692,
"step": 100
},
{
"epoch": 40.0,
"grad_norm": 0.008125479333102703,
"learning_rate": 0.0001,
"loss": 0.006,
"step": 200
},
{
"epoch": 40.0,
"eval_accuracy": 1.0,
"eval_loss": 0.0006637517362833023,
"eval_runtime": 0.028,
"eval_samples_per_second": 642.488,
"eval_steps_per_second": 71.388,
"step": 200
},
{
"epoch": 60.0,
"grad_norm": 0.00710184033960104,
"learning_rate": 5e-05,
"loss": 0.0223,
"step": 300
},
{
"epoch": 60.0,
"eval_accuracy": 1.0,
"eval_loss": 0.0019779244903475046,
"eval_runtime": 0.0323,
"eval_samples_per_second": 557.646,
"eval_steps_per_second": 61.961,
"step": 300
},
{
"epoch": 80.0,
"grad_norm": 0.00847003422677517,
"learning_rate": 0.0,
"loss": 0.0058,
"step": 400
},
{
"epoch": 80.0,
"eval_accuracy": 1.0,
"eval_loss": 0.0008943404536694288,
"eval_runtime": 0.032,
"eval_samples_per_second": 562.516,
"eval_steps_per_second": 62.502,
"step": 400
},
{
"epoch": 80.0,
"step": 400,
"total_flos": 66867808427280.0,
"train_loss": 0.03407109707593918,
"train_runtime": 41.4151,
"train_samples_per_second": 154.533,
"train_steps_per_second": 9.658
}
],
"logging_steps": 100,
"max_steps": 400,
"num_input_tokens_seen": 0,
"num_train_epochs": 80,
"save_steps": 100,
"total_flos": 66867808427280.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}