初始化项目,由ModelHub XC社区提供模型

Model: fpadovani/cds_o_fr_13
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-04 10:55:17 +08:00
commit 0eeb6eecd7
308 changed files with 1692832 additions and 0 deletions

View File

@@ -0,0 +1,161 @@
{
"best_global_step": 1160,
"best_metric": 2.907557487487793,
"best_model_checkpoint": "/home/p318482/syntactic-bootstrapping/model_trained/cds_o_fr_13/checkpoint-1160",
"epoch": 8.0,
"eval_steps": 500,
"global_step": 1160,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.006896551724137931,
"grad_norm": 32.2354736328125,
"learning_rate": 0.0,
"loss": 9.7326,
"step": 1
},
{
"epoch": 1.0,
"grad_norm": 1.26012122631073,
"learning_rate": 2.88e-05,
"loss": 5.8188,
"step": 145
},
{
"epoch": 1.0,
"eval_loss": 4.1781511306762695,
"eval_runtime": 4.3842,
"eval_samples_per_second": 803.562,
"eval_steps_per_second": 3.193,
"step": 145
},
{
"epoch": 2.0,
"grad_norm": 1.0639448165893555,
"learning_rate": 5.7799999999999995e-05,
"loss": 3.6451,
"step": 290
},
{
"epoch": 2.0,
"eval_loss": 3.4042274951934814,
"eval_runtime": 4.6134,
"eval_samples_per_second": 763.65,
"eval_steps_per_second": 3.035,
"step": 290
},
{
"epoch": 3.0,
"grad_norm": 0.9253916144371033,
"learning_rate": 8.680000000000001e-05,
"loss": 3.2742,
"step": 435
},
{
"epoch": 3.0,
"eval_loss": 3.1871676445007324,
"eval_runtime": 4.7952,
"eval_samples_per_second": 734.687,
"eval_steps_per_second": 2.92,
"step": 435
},
{
"epoch": 4.0,
"grad_norm": 0.8254706263542175,
"learning_rate": 9.668067226890756e-05,
"loss": 3.1065,
"step": 580
},
{
"epoch": 4.0,
"eval_loss": 3.0691733360290527,
"eval_runtime": 4.4368,
"eval_samples_per_second": 794.047,
"eval_steps_per_second": 3.155,
"step": 580
},
{
"epoch": 5.0,
"grad_norm": 0.7847094535827637,
"learning_rate": 9.058823529411765e-05,
"loss": 3.0059,
"step": 725
},
{
"epoch": 5.0,
"eval_loss": 3.00063157081604,
"eval_runtime": 4.5738,
"eval_samples_per_second": 770.265,
"eval_steps_per_second": 3.061,
"step": 725
},
{
"epoch": 6.0,
"grad_norm": 0.82077956199646,
"learning_rate": 8.449579831932774e-05,
"loss": 2.9407,
"step": 870
},
{
"epoch": 6.0,
"eval_loss": 2.95955753326416,
"eval_runtime": 4.664,
"eval_samples_per_second": 755.368,
"eval_steps_per_second": 3.002,
"step": 870
},
{
"epoch": 7.0,
"grad_norm": 0.7905252575874329,
"learning_rate": 7.840336134453782e-05,
"loss": 2.8903,
"step": 1015
},
{
"epoch": 7.0,
"eval_loss": 2.929441452026367,
"eval_runtime": 4.4917,
"eval_samples_per_second": 784.335,
"eval_steps_per_second": 3.117,
"step": 1015
},
{
"epoch": 8.0,
"grad_norm": 0.8253563642501831,
"learning_rate": 7.23109243697479e-05,
"loss": 2.8492,
"step": 1160
},
{
"epoch": 8.0,
"eval_loss": 2.907557487487793,
"eval_runtime": 4.4334,
"eval_samples_per_second": 794.644,
"eval_steps_per_second": 3.158,
"step": 1160
}
],
"logging_steps": 500,
"max_steps": 2900,
"num_input_tokens_seen": 0,
"num_train_epochs": 20,
"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": 1.9327249022976e+16,
"train_batch_size": 256,
"trial_name": null,
"trial_params": null
}