misterJB/akron-field-396hz
1
0
Fork 0
Code Issues Pull Requests Actions Projects Releases Wiki Activity

初始化项目，由ModelHub XC社区提供模型

Browse Source 
Model: misterJB/akron-field-396hz
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-14 21:01:13 +08:00
commit 813b3dc86c
20 changed files with 757 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
last-checkpoint/chat_template.jinja Normal file
View File

@@ -0,0 +1,4 @@
{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
' + message['content'] | trim + '<end_of_turn>
' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
'}}{% endif %}

65
last-checkpoint/config.json Normal file
View File

@@ -0,0 +1,65 @@
{
"architectures": [
"Gemma2ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"attn_logit_softcapping": 50.0,
"bos_token_id": 2,
"cache_implementation": "hybrid",
"dtype": "bfloat16",
"eos_token_id": 1,
"final_logit_softcapping": 30.0,
"head_dim": 256,
"hidden_act": "gelu_pytorch_tanh",
"hidden_activation": "gelu_pytorch_tanh",
"hidden_size": 2304,
"initializer_range": 0.02,
"intermediate_size": 9216,
"layer_types": [
"sliding_attention",
"full_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"full_attention"
],
"max_position_embeddings": 8192,
"model_type": "gemma2",
"num_attention_heads": 8,
"num_hidden_layers": 26,
"num_key_value_heads": 4,
"pad_token_id": 0,
"query_pre_attn_scalar": 256,
"rms_norm_eps": 1e-06,
"rope_parameters": {
"rope_theta": 10000.0,
"rope_type": "default"
},
"sliding_window": 4096,
"tie_word_embeddings": true,
"transformers_version": "5.3.0",
"use_bidirectional_attention": null,
"use_cache": false,
"vocab_size": 256000
}

12
last-checkpoint/generation_config.json Normal file
View File

@@ -0,0 +1,12 @@
{
"_from_model_config": true,
"bos_token_id": 2,
"cache_implementation": "hybrid",
"eos_token_id": [
1,
1,
107
],
"pad_token_id": 0,
"transformers_version": "5.3.0"
}

3
last-checkpoint/model.safetensors Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b7e85d31a9400a3e476e57eb02f66875fe02d94a2e7f0498f6daf9772ea3cabf
size 5228717512

3
last-checkpoint/optimizer.pt Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:795383d344f81ffeed9736876921ab7c34ee1e1e8f7ae853b548fbe86125a4d4
size 10457622711

3
last-checkpoint/rng_state.pth Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:098b29492211804ab324a36f37466821d948280bb74fce4ba895c03f13ecd878
size 14645

3
last-checkpoint/scheduler.pt Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7949a82b4956d6dc1683588213cba80de08632b440866c7377566d6b5ddef0f6
size 1465

3
last-checkpoint/tokenizer.json Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:487cee8724215dcd2dde8888539e8b1bf844ceb5dbbe27f7845abda69eeb060f
size 34362872

19
last-checkpoint/tokenizer_config.json Normal file
View File

@@ -0,0 +1,19 @@
{
"backend": "tokenizers",
"bos_token": "<bos>",
"clean_up_tokenization_spaces": false,
"eos_token": "<eos>",
"extra_special_tokens": [
"<start_of_turn>",
"<end_of_turn>"
],
"is_local": false,
"mask_token": "<mask>",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<pad>",
"sp_model_kwargs": {},
"spaces_between_special_tokens": false,
"tokenizer_class": "GemmaTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false
}

434
last-checkpoint/trainer_state.json Normal file
View File

@@ -0,0 +1,434 @@
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.5625,
"eval_steps": 500,
"global_step": 2000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"entropy": 0.8528947708010673,
"epoch": 0.0390625,
"grad_norm": 1.140625,
"learning_rate": 3.828125000000001e-06,
"loss": 1.0035149383544921,
"mean_token_accuracy": 0.7955961337685585,
"num_tokens": 289985.0,
"step": 50
},
{
"entropy": 0.19647314386442305,
"epoch": 0.078125,
"grad_norm": 1.03125,
"learning_rate": 7.734375e-06,
"loss": 0.1893597412109375,
"mean_token_accuracy": 0.9560051780939102,
"num_tokens": 578511.0,
"step": 100
},
{
"entropy": 0.09508214401081204,
"epoch": 0.1171875,
"grad_norm": 1.140625,
"learning_rate": 1.1640625000000002e-05,
"loss": 0.08917176246643066,
"mean_token_accuracy": 0.9763016304373742,
"num_tokens": 863089.0,
"step": 150
},
{
"entropy": 0.06972143727354706,
"epoch": 0.15625,
"grad_norm": 1.03125,
"learning_rate": 1.5546875e-05,
"loss": 0.0670042610168457,
"mean_token_accuracy": 0.9812742775678635,
"num_tokens": 1152491.0,
"step": 200
},
{
"entropy": 0.048063146471977236,
"epoch": 0.1953125,
"grad_norm": 0.78125,
"learning_rate": 1.9453125e-05,
"loss": 0.04478513240814209,
"mean_token_accuracy": 0.9859032621979713,
"num_tokens": 1439889.0,
"step": 250
},
{
"entropy": 0.04555465183220804,
"epoch": 0.234375,
"grad_norm": 0.39453125,
"learning_rate": 1.9626736111111114e-05,
"loss": 0.04354703426361084,
"mean_token_accuracy": 0.986427218914032,
"num_tokens": 1724136.0,
"step": 300
},
{
"entropy": 0.03841961392201483,
"epoch": 0.2734375,
"grad_norm": 0.40234375,
"learning_rate": 1.9192708333333335e-05,
"loss": 0.03762138843536377,
"mean_token_accuracy": 0.9881205716729164,
"num_tokens": 2005086.0,
"step": 350
},
{
"entropy": 0.028935400638729333,
"epoch": 0.3125,
"grad_norm": 0.427734375,
"learning_rate": 1.8758680555555557e-05,
"loss": 0.027575111389160155,
"mean_token_accuracy": 0.9903467008471489,
"num_tokens": 2294186.0,
"step": 400
},
{
"entropy": 0.025832002903334796,
"epoch": 0.3515625,
"grad_norm": 0.1171875,
"learning_rate": 1.8324652777777778e-05,
"loss": 0.024780447483062743,
"mean_token_accuracy": 0.9910794907808304,
"num_tokens": 2583118.0,
"step": 450
},
{
"entropy": 0.02405791813507676,
"epoch": 0.390625,
"grad_norm": 0.34765625,
"learning_rate": 1.7890625000000003e-05,
"loss": 0.0229555344581604,
"mean_token_accuracy": 0.9914542031288147,
"num_tokens": 2869922.0,
"step": 500
},
{
"entropy": 0.027367654335685075,
"epoch": 0.4296875,
"grad_norm": 0.130859375,
"learning_rate": 1.7456597222222224e-05,
"loss": 0.02657809019088745,
"mean_token_accuracy": 0.9907592672109604,
"num_tokens": 3151975.0,
"step": 550
},
{
"entropy": 0.02466743137687445,
"epoch": 0.46875,
"grad_norm": 0.2275390625,
"learning_rate": 1.7022569444444446e-05,
"loss": 0.023617582321166994,
"mean_token_accuracy": 0.9914914935827255,
"num_tokens": 3441223.0,
"step": 600
},
{
"entropy": 0.025295174946077168,
"epoch": 0.5078125,
"grad_norm": 0.23828125,
"learning_rate": 1.6588541666666667e-05,
"loss": 0.023536417484283447,
"mean_token_accuracy": 0.9913991931080818,
"num_tokens": 3725476.0,
"step": 650
},
{
"entropy": 0.021516693667508663,
"epoch": 0.546875,
"grad_norm": 0.1376953125,
"learning_rate": 1.615451388888889e-05,
"loss": 0.02034649610519409,
"mean_token_accuracy": 0.9919455853104592,
"num_tokens": 4015608.0,
"step": 700
},
{
"entropy": 0.02162676403298974,
"epoch": 0.5859375,
"grad_norm": 0.1025390625,
"learning_rate": 1.5720486111111114e-05,
"loss": 0.02098503351211548,
"mean_token_accuracy": 0.9920175784826278,
"num_tokens": 4297395.0,
"step": 750
},
{
"entropy": 0.02071377928368747,
"epoch": 0.625,
"grad_norm": 0.13671875,
"learning_rate": 1.5286458333333335e-05,
"loss": 0.020009536743164063,
"mean_token_accuracy": 0.9920961040258408,
"num_tokens": 4584615.0,
"step": 800
},
{
"entropy": 0.022029129918664694,
"epoch": 0.6640625,
"grad_norm": 0.07861328125,
"learning_rate": 1.4852430555555556e-05,
"loss": 0.021189706325531008,
"mean_token_accuracy": 0.991996766924858,
"num_tokens": 4865596.0,
"step": 850
},
{
"entropy": 0.021224360242486,
"epoch": 0.703125,
"grad_norm": 0.12890625,
"learning_rate": 1.4418402777777778e-05,
"loss": 0.020408225059509278,
"mean_token_accuracy": 0.9920864021778106,
"num_tokens": 5151434.0,
"step": 900
},
{
"entropy": 0.02010633623227477,
"epoch": 0.7421875,
"grad_norm": 0.734375,
"learning_rate": 1.3984375000000001e-05,
"loss": 0.01937895655632019,
"mean_token_accuracy": 0.9925438091158867,
"num_tokens": 5444488.0,
"step": 950
},
{
"entropy": 0.01990706148557365,
"epoch": 0.78125,
"grad_norm": 0.1162109375,
"learning_rate": 1.3550347222222224e-05,
"loss": 0.019094927310943602,
"mean_token_accuracy": 0.9926347577571869,
"num_tokens": 5734302.0,
"step": 1000
},
{
"entropy": 0.02041028759907931,
"epoch": 0.8203125,
"grad_norm": 0.09521484375,
"learning_rate": 1.3116319444444446e-05,
"loss": 0.019333359003067017,
"mean_token_accuracy": 0.9924440628290176,
"num_tokens": 6020184.0,
"step": 1050
},
{
"entropy": 0.020887044854462147,
"epoch": 0.859375,
"grad_norm": 0.1904296875,
"learning_rate": 1.2682291666666669e-05,
"loss": 0.01991814136505127,
"mean_token_accuracy": 0.9922475999593735,
"num_tokens": 6307384.0,
"step": 1100
},
{
"entropy": 0.020934463790617884,
"epoch": 0.8984375,
"grad_norm": 0.10546875,
"learning_rate": 1.2248263888888889e-05,
"loss": 0.020386738777160643,
"mean_token_accuracy": 0.992243467271328,
"num_tokens": 6590414.0,
"step": 1150
},
{
"entropy": 0.018531152345240116,
"epoch": 0.9375,
"grad_norm": 0.072265625,
"learning_rate": 1.1814236111111112e-05,
"loss": 0.01763615131378174,
"mean_token_accuracy": 0.9930036315321922,
"num_tokens": 6879445.0,
"step": 1200
},
{
"entropy": 0.018522553648799657,
"epoch": 0.9765625,
"grad_norm": 0.09521484375,
"learning_rate": 1.1380208333333333e-05,
"loss": 0.017574281692504884,
"mean_token_accuracy": 0.9928433075547218,
"num_tokens": 7168537.0,
"step": 1250
},
{
"entropy": 0.01806912823114544,
"epoch": 1.015625,
"grad_norm": 0.08349609375,
"learning_rate": 1.0946180555555556e-05,
"loss": 0.017191458940505982,
"mean_token_accuracy": 0.9930350634455681,
"num_tokens": 7455527.0,
"step": 1300
},
{
"entropy": 0.01792264294810593,
"epoch": 1.0546875,
"grad_norm": 0.1220703125,
"learning_rate": 1.0512152777777778e-05,
"loss": 0.017068485021591185,
"mean_token_accuracy": 0.9930369177460671,
"num_tokens": 7739474.0,
"step": 1350
},
{
"entropy": 0.018599705449305476,
"epoch": 1.09375,
"grad_norm": 0.08740234375,
"learning_rate": 1.0078125000000001e-05,
"loss": 0.017695863246917725,
"mean_token_accuracy": 0.9929590111970902,
"num_tokens": 8026170.0,
"step": 1400
},
{
"entropy": 0.018208509651012717,
"epoch": 1.1328125,
"grad_norm": 0.11181640625,
"learning_rate": 9.644097222222222e-06,
"loss": 0.01744949698448181,
"mean_token_accuracy": 0.9930833280086517,
"num_tokens": 8314626.0,
"step": 1450
},
{
"entropy": 0.01731262981891632,
"epoch": 1.171875,
"grad_norm": 0.07080078125,
"learning_rate": 9.210069444444446e-06,
"loss": 0.016677556037902833,
"mean_token_accuracy": 0.9931734573841094,
"num_tokens": 8601406.0,
"step": 1500
},
{
"entropy": 0.01845017326530069,
"epoch": 1.2109375,
"grad_norm": 0.087890625,
"learning_rate": 8.776041666666667e-06,
"loss": 0.017589352130889892,
"mean_token_accuracy": 0.9928986424207688,
"num_tokens": 8887025.0,
"step": 1550
},
{
"entropy": 0.016624693870544435,
"epoch": 1.25,
"grad_norm": 0.138671875,
"learning_rate": 8.342013888888889e-06,
"loss": 0.015853718519210816,
"mean_token_accuracy": 0.9933998480439186,
"num_tokens": 9173407.0,
"step": 1600
},
{
"entropy": 0.018500901735387744,
"epoch": 1.2890625,
"grad_norm": 0.1142578125,
"learning_rate": 7.907986111111112e-06,
"loss": 0.017626932859420776,
"mean_token_accuracy": 0.9930863061547279,
"num_tokens": 9454970.0,
"step": 1650
},
{
"entropy": 0.01800002105999738,
"epoch": 1.328125,
"grad_norm": 0.0986328125,
"learning_rate": 7.473958333333334e-06,
"loss": 0.017116209268569948,
"mean_token_accuracy": 0.9930115470290184,
"num_tokens": 9739610.0,
"step": 1700
},
{
"entropy": 0.017908857897855342,
"epoch": 1.3671875,
"grad_norm": 0.1064453125,
"learning_rate": 7.039930555555556e-06,
"loss": 0.017099602222442625,
"mean_token_accuracy": 0.9931422612071037,
"num_tokens": 10028723.0,
"step": 1750
},
{
"entropy": 0.017319361912086606,
"epoch": 1.40625,
"grad_norm": 0.14453125,
"learning_rate": 6.605902777777779e-06,
"loss": 0.016603636741638183,
"mean_token_accuracy": 0.9933136883378029,
"num_tokens": 10313957.0,
"step": 1800
},
{
"entropy": 0.017652450683526694,
"epoch": 1.4453125,
"grad_norm": 0.11572265625,
"learning_rate": 6.171875e-06,
"loss": 0.01667865037918091,
"mean_token_accuracy": 0.9932633358240127,
"num_tokens": 10597623.0,
"step": 1850
},
{
"entropy": 0.01626451033167541,
"epoch": 1.484375,
"grad_norm": 0.119140625,
"learning_rate": 5.737847222222222e-06,
"loss": 0.015588784217834472,
"mean_token_accuracy": 0.993659851551056,
"num_tokens": 10887482.0,
"step": 1900
},
{
"entropy": 0.016533851716667415,
"epoch": 1.5234375,
"grad_norm": 0.1630859375,
"learning_rate": 5.303819444444445e-06,
"loss": 0.01556604504585266,
"mean_token_accuracy": 0.9936296039819718,
"num_tokens": 11176455.0,
"step": 1950
},
{
"entropy": 0.017771934717893602,
"epoch": 1.5625,
"grad_norm": 0.11572265625,
"learning_rate": 4.869791666666667e-06,
"loss": 0.017040348052978514,
"mean_token_accuracy": 0.9932206523418426,
"num_tokens": 11462052.0,
"step": 2000
}
],
"logging_steps": 50,
"max_steps": 2560,
"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": false
},
"attributes": {}
}
},
"total_flos": 1.5546599214235546e+17,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}

3
last-checkpoint/training_args.bin Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0d177caf7b44a77f25fa13eb0cbb87bf64e638bccc39b2ceff5876154bee481e
size 5713