初始化项目,由ModelHub XC社区提供模型

Model: fpadovani/candor_np_13
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-04 10:48:18 +08:00
commit a6b18ed9c0
275 changed files with 2713033 additions and 0 deletions

View File

@@ -0,0 +1,33 @@
{
"activation_function": "gelu_new",
"architectures": [
"GPT2LMHeadModel"
],
"attn_pdrop": 0.1,
"bos_token_id": 1,
"dtype": "float32",
"embd_pdrop": 0.1,
"eos_token_id": 2,
"initializer_range": 0.02,
"layer_norm_epsilon": 1e-05,
"model_type": "gpt2",
"n_ctx": 1024,
"n_embd": 768,
"n_head": 12,
"n_inner": null,
"n_layer": 12,
"n_positions": 1024,
"pad_token_id": 2,
"reorder_and_upcast_attn": false,
"resid_pdrop": 0.1,
"scale_attn_by_inverse_layer_idx": false,
"scale_attn_weights": true,
"summary_activation": null,
"summary_first_dropout": 0.1,
"summary_proj_to_labels": true,
"summary_type": "cls_index",
"summary_use_proj": true,
"transformers_version": "4.56.1",
"use_cache": true,
"vocab_size": 30000
}

View File

@@ -0,0 +1,9 @@
{
"_from_model_config": true,
"bos_token_id": 1,
"eos_token_id": [
2
],
"pad_token_id": 2,
"transformers_version": "4.56.1"
}

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:386a23b4202d739d41ab80861accf0957b7c1927cb58334be10c61c45338a164
size 435544704

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d37b2c43a1a71b64276befd2e29b6f53a9ac84aabdbcfedefc5cfe69aec92cef
size 871183627

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:43b1b7e9179c37a118f5c485e14456d96024b7de05685eee0f50ca1de3296493
size 14709

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:022915fa8ac65fae0f13853519b8aa7ee79efd632a399c1f64c6b87bab0b057a
size 1383

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:391e82a27d6354af4268854d4c91f293cc6433fb061a77efeca63fe213ba70a1
size 1465

View File

@@ -0,0 +1,8 @@
{
"bos_token": "<s>",
"eos_token": "</s>",
"mask_token": "<mask>",
"pad_token": "</s>",
"sep_token": "<sep>",
"unk_token": "<unk>"
}

149783
checkpoint-8000/tokenizer.json Normal file

File diff suppressed because it is too large Load Diff

View File

@@ -0,0 +1,62 @@
{
"added_tokens_decoder": {
"0": {
"content": "<pad>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"1": {
"content": "<s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"2": {
"content": "</s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"3": {
"content": "<unk>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"4": {
"content": "<mask>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"5": {
"content": "<sep>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
}
},
"bos_token": "<s>",
"clean_up_tokenization_spaces": false,
"eos_token": "</s>",
"extra_special_tokens": {},
"mask_token": "<mask>",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "</s>",
"sep_token": "<sep>",
"tokenizer_class": "PreTrainedTokenizerFast",
"unk_token": "<unk>"
}

View File

@@ -0,0 +1,311 @@
{
"best_global_step": 4220,
"best_metric": 4.378113269805908,
"best_model_checkpoint": null,
"epoch": 18.95734597156398,
"eval_steps": 500,
"global_step": 8000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.002369668246445498,
"grad_norm": 20.34552001953125,
"learning_rate": 0.0,
"loss": 10.3309,
"step": 1
},
{
"epoch": 1.0,
"grad_norm": 1.0193040370941162,
"learning_rate": 8.42e-05,
"loss": 5.762,
"step": 422
},
{
"epoch": 1.0,
"eval_loss": 4.781050205230713,
"eval_runtime": 21.3156,
"eval_samples_per_second": 1292.106,
"eval_steps_per_second": 5.067,
"step": 422
},
{
"epoch": 2.0,
"grad_norm": 0.6101345419883728,
"learning_rate": 9.566919191919192e-05,
"loss": 4.6298,
"step": 844
},
{
"epoch": 2.0,
"eval_loss": 4.602915287017822,
"eval_runtime": 22.4738,
"eval_samples_per_second": 1225.514,
"eval_steps_per_second": 4.806,
"step": 844
},
{
"epoch": 3.0,
"grad_norm": 0.5042136907577515,
"learning_rate": 9.03409090909091e-05,
"loss": 4.5095,
"step": 1266
},
{
"epoch": 3.0,
"eval_loss": 4.522061347961426,
"eval_runtime": 31.9704,
"eval_samples_per_second": 861.483,
"eval_steps_per_second": 3.378,
"step": 1266
},
{
"epoch": 4.0,
"grad_norm": 0.5082475543022156,
"learning_rate": 8.501262626262628e-05,
"loss": 4.4388,
"step": 1688
},
{
"epoch": 4.0,
"eval_loss": 4.47515869140625,
"eval_runtime": 31.848,
"eval_samples_per_second": 864.796,
"eval_steps_per_second": 3.391,
"step": 1688
},
{
"epoch": 5.0,
"grad_norm": 0.5105661749839783,
"learning_rate": 7.968434343434343e-05,
"loss": 4.3851,
"step": 2110
},
{
"epoch": 5.0,
"eval_loss": 4.442058563232422,
"eval_runtime": 32.0508,
"eval_samples_per_second": 859.323,
"eval_steps_per_second": 3.37,
"step": 2110
},
{
"epoch": 6.0,
"grad_norm": 0.5460625886917114,
"learning_rate": 7.435606060606061e-05,
"loss": 4.3391,
"step": 2532
},
{
"epoch": 6.0,
"eval_loss": 4.4180145263671875,
"eval_runtime": 30.8915,
"eval_samples_per_second": 891.572,
"eval_steps_per_second": 3.496,
"step": 2532
},
{
"epoch": 7.0,
"grad_norm": 0.5497872233390808,
"learning_rate": 6.902777777777779e-05,
"loss": 4.2975,
"step": 2954
},
{
"epoch": 7.0,
"eval_loss": 4.39995813369751,
"eval_runtime": 32.8624,
"eval_samples_per_second": 838.1,
"eval_steps_per_second": 3.286,
"step": 2954
},
{
"epoch": 8.0,
"grad_norm": 0.5838669538497925,
"learning_rate": 6.369949494949495e-05,
"loss": 4.258,
"step": 3376
},
{
"epoch": 8.0,
"eval_loss": 4.387345790863037,
"eval_runtime": 30.4389,
"eval_samples_per_second": 904.829,
"eval_steps_per_second": 3.548,
"step": 3376
},
{
"epoch": 9.0,
"grad_norm": 0.6011605262756348,
"learning_rate": 5.837121212121213e-05,
"loss": 4.2193,
"step": 3798
},
{
"epoch": 9.0,
"eval_loss": 4.380561351776123,
"eval_runtime": 31.2627,
"eval_samples_per_second": 880.986,
"eval_steps_per_second": 3.455,
"step": 3798
},
{
"epoch": 10.0,
"grad_norm": 0.6363890171051025,
"learning_rate": 5.30429292929293e-05,
"loss": 4.1807,
"step": 4220
},
{
"epoch": 10.0,
"eval_loss": 4.378113269805908,
"eval_runtime": 31.7839,
"eval_samples_per_second": 866.54,
"eval_steps_per_second": 3.398,
"step": 4220
},
{
"epoch": 11.0,
"grad_norm": 0.663550078868866,
"learning_rate": 4.771464646464647e-05,
"loss": 4.1418,
"step": 4642
},
{
"epoch": 11.0,
"eval_loss": 4.379039764404297,
"eval_runtime": 29.9854,
"eval_samples_per_second": 918.515,
"eval_steps_per_second": 3.602,
"step": 4642
},
{
"epoch": 12.0,
"grad_norm": 0.744036078453064,
"learning_rate": 4.238636363636364e-05,
"loss": 4.1029,
"step": 5064
},
{
"epoch": 12.0,
"eval_loss": 4.383896350860596,
"eval_runtime": 25.563,
"eval_samples_per_second": 1077.418,
"eval_steps_per_second": 4.225,
"step": 5064
},
{
"epoch": 13.0,
"grad_norm": 0.8011893630027771,
"learning_rate": 3.705808080808081e-05,
"loss": 4.0643,
"step": 5486
},
{
"epoch": 13.0,
"eval_loss": 4.391408920288086,
"eval_runtime": 30.7558,
"eval_samples_per_second": 895.506,
"eval_steps_per_second": 3.512,
"step": 5486
},
{
"epoch": 14.0,
"grad_norm": 0.8544487357139587,
"learning_rate": 3.172979797979798e-05,
"loss": 4.0259,
"step": 5908
},
{
"epoch": 14.0,
"eval_loss": 4.40255880355835,
"eval_runtime": 31.2899,
"eval_samples_per_second": 880.219,
"eval_steps_per_second": 3.452,
"step": 5908
},
{
"epoch": 15.0,
"grad_norm": 0.9503664970397949,
"learning_rate": 2.6401515151515155e-05,
"loss": 3.9896,
"step": 6330
},
{
"epoch": 15.0,
"eval_loss": 4.4131035804748535,
"eval_runtime": 21.2356,
"eval_samples_per_second": 1296.974,
"eval_steps_per_second": 5.086,
"step": 6330
},
{
"epoch": 16.0,
"grad_norm": 1.0018138885498047,
"learning_rate": 2.1073232323232324e-05,
"loss": 3.9551,
"step": 6752
},
{
"epoch": 16.0,
"eval_loss": 4.427628040313721,
"eval_runtime": 21.2661,
"eval_samples_per_second": 1295.115,
"eval_steps_per_second": 5.079,
"step": 6752
},
{
"epoch": 17.0,
"grad_norm": 1.0533849000930786,
"learning_rate": 1.5744949494949496e-05,
"loss": 3.9231,
"step": 7174
},
{
"epoch": 17.0,
"eval_loss": 4.4376349449157715,
"eval_runtime": 21.2661,
"eval_samples_per_second": 1295.114,
"eval_steps_per_second": 5.079,
"step": 7174
},
{
"epoch": 18.0,
"grad_norm": 1.074864149093628,
"learning_rate": 1.0416666666666668e-05,
"loss": 3.8953,
"step": 7596
},
{
"epoch": 18.0,
"eval_loss": 4.450303077697754,
"eval_runtime": 21.2275,
"eval_samples_per_second": 1297.471,
"eval_steps_per_second": 5.088,
"step": 7596
}
],
"logging_steps": 500,
"max_steps": 8440,
"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": 1.33770938056704e+17,
"train_batch_size": 256,
"trial_name": null,
"trial_params": null
}

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e427d3053d40db71f4c8bd911dbb23cf2c24d836bdfda62c5985c167b6b35982
size 5969