dilkushsingh/qwen2.5-0.5b-nlp2bash-FFT
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: dilkushsingh/qwen2.5-0.5b-nlp2bash-FFT
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-09-12 05:02:17 +08:00
commit 6dad64a46f
45 changed files with 4335 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

54
checkpoint-1689/chat_template.jinja Normal file
View File

@@ -0,0 +1,54 @@
{%- if tools %}
{{- '<|im_start|>system\n' }}
{%- if messages[0]['role'] == 'system' %}
{{- messages[0]['content'] }}
{%- else %}
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
{%- endif %}
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
{%- for tool in tools %}
{{- "\n" }}
{{- tool | tojson }}
{%- endfor %}
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
{%- else %}
{%- if messages[0]['role'] == 'system' %}
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
{%- else %}
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- for message in messages %}
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
{%- elif message.role == "assistant" %}
{{- '<|im_start|>' + message.role }}
{%- if message.content %}
{{- '\n' + message.content }}
{%- endif %}
{%- for tool_call in message.tool_calls %}
{%- if tool_call.function is defined %}
{%- set tool_call = tool_call.function %}
{%- endif %}
{{- '\n<tool_call>\n{"name": "' }}
{{- tool_call.name }}
{{- '", "arguments": ' }}
{{- tool_call.arguments | tojson }}
{{- '}\n</tool_call>' }}
{%- endfor %}
{{- '<|im_end|>\n' }}
{%- elif message.role == "tool" %}
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
{{- '<|im_start|>user' }}
{%- endif %}
{{- '\n<tool_response>\n' }}
{{- message.content }}
{{- '\n</tool_response>' }}
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
{{- '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- endif %}

57
checkpoint-1689/config.json Normal file
View File

@@ -0,0 +1,57 @@
{
"architectures": [
"Qwen2ForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": null,
"dtype": "bfloat16",
"eos_token_id": 151645,
"hidden_act": "silu",
"hidden_size": 896,
"initializer_range": 0.02,
"intermediate_size": 4864,
"layer_types": [
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention"
],
"max_position_embeddings": 32768,
"max_window_layers": 21,
"model_type": "qwen2",
"num_attention_heads": 14,
"num_hidden_layers": 24,
"num_key_value_heads": 2,
"pad_token_id": 151643,
"rms_norm_eps": 1e-06,
"rope_parameters": {
"rope_theta": 1000000.0,
"rope_type": "default"
},
"sliding_window": null,
"tie_word_embeddings": true,
"transformers_version": "5.12.1",
"use_cache": false,
"use_sliding_window": false,
"vocab_size": 151936
}

13
checkpoint-1689/generation_config.json Normal file
View File

@@ -0,0 +1,13 @@
{
"do_sample": true,
"eos_token_id": [
151645,
151643
],
"pad_token_id": 151643,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8,
"transformers_version": "5.12.1"
}

3
checkpoint-1689/model.safetensors Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:78aaf8738cdb4013348217752054bbaca4981d5440cc4905f61e8fa9fa433213
size 988097824

3
checkpoint-1689/optimizer.pt Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:996fdf7659149fcff001890ff3325d394ba20316f1760c3960488a6358d997b1
size 1976378699

3
checkpoint-1689/rng_state.pth Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:61b5b77e9aceb5804f11a1b38ed2c5391729d8c6966ed20e968822cc25bedd70
size 14645

3
checkpoint-1689/scheduler.pt Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:148be883ba879fc6d9643e74f8bb9f6088b9fc21b064b81dc2a6e3d83d8aac3c
size 1465

3
checkpoint-1689/tokenizer.json Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
size 11421892

30
checkpoint-1689/tokenizer_config.json Normal file
View File

@@ -0,0 +1,30 @@
{
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": null,
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"extra_special_tokens": [
"<|im_start|>",
"<|im_end|>",
"<|object_ref_start|>",
"<|object_ref_end|>",
"<|box_start|>",
"<|box_end|>",
"<|quad_start|>",
"<|quad_end|>",
"<|vision_start|>",
"<|vision_end|>",
"<|vision_pad|>",
"<|image_pad|>",
"<|video_pad|>"
],
"is_local": false,
"local_files_only": false,
"model_max_length": 131072,
"pad_token": "<|endoftext|>",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}

737
checkpoint-1689/trainer_state.json Normal file
View File

@@ -0,0 +1,737 @@
{
"best_global_step": 1126,
"best_metric": 1.2738397121429443,
"best_model_checkpoint": "finetuned_models/FFT/checkpoint-1126",
"epoch": 3.0,
"eval_steps": 500,
"global_step": 1689,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"entropy": 1.5691047963500022,
"epoch": 0.044444444444444446,
"grad_norm": 61.75,
"learning_rate": 2.840236686390533e-06,
"loss": 2.82507080078125,
"mean_token_accuracy": 0.5578909605741501,
"num_tokens": 43581.0,
"step": 25
},
{
"entropy": 1.912336548268795,
"epoch": 0.08888888888888889,
"grad_norm": 41.25,
"learning_rate": 5.7988165680473375e-06,
"loss": 2.3563003540039062,
"mean_token_accuracy": 0.5931275233626365,
"num_tokens": 86889.0,
"step": 50
},
{
"entropy": 2.1532553315162657,
"epoch": 0.13333333333333333,
"grad_norm": 31.125,
"learning_rate": 8.757396449704143e-06,
"loss": 2.159627685546875,
"mean_token_accuracy": 0.5959913417696953,
"num_tokens": 130613.0,
"step": 75
},
{
"entropy": 1.9658770501613616,
"epoch": 0.17777777777777778,
"grad_norm": 30.0,
"learning_rate": 1.1715976331360948e-05,
"loss": 1.9642219543457031,
"mean_token_accuracy": 0.6274332204461097,
"num_tokens": 174274.0,
"step": 100
},
{
"entropy": 1.9181486976146698,
"epoch": 0.2222222222222222,
"grad_norm": 23.875,
"learning_rate": 1.4674556213017752e-05,
"loss": 1.9006834411621094,
"mean_token_accuracy": 0.6362838646769524,
"num_tokens": 217619.0,
"step": 125
},
{
"entropy": 1.8227408236265183,
"epoch": 0.26666666666666666,
"grad_norm": 29.5,
"learning_rate": 1.7633136094674557e-05,
"loss": 1.834572296142578,
"mean_token_accuracy": 0.645097343325615,
"num_tokens": 261407.0,
"step": 150
},
{
"entropy": 1.8350859326124191,
"epoch": 0.3111111111111111,
"grad_norm": 25.625,
"learning_rate": 1.999946602771351e-05,
"loss": 1.8147303771972656,
"mean_token_accuracy": 0.6461810152232647,
"num_tokens": 305402.0,
"step": 175
},
{
"entropy": 1.753722729086876,
"epoch": 0.35555555555555557,
"grad_norm": 31.5,
"learning_rate": 1.9980782984658682e-05,
"loss": 1.758114013671875,
"mean_token_accuracy": 0.653534509241581,
"num_tokens": 348998.0,
"step": 200
},
{
"entropy": 1.7685393619537353,
"epoch": 0.4,
"grad_norm": 23.75,
"learning_rate": 1.9935458325191365e-05,
"loss": 1.7483135986328124,
"mean_token_accuracy": 0.6603708426654339,
"num_tokens": 392837.0,
"step": 225
},
{
"entropy": 1.7378248673677446,
"epoch": 0.4444444444444444,
"grad_norm": 26.5,
"learning_rate": 1.9863613034027224e-05,
"loss": 1.7749085998535157,
"mean_token_accuracy": 0.65810049533844,
"num_tokens": 436281.0,
"step": 250
},
{
"entropy": 1.6766968676447869,
"epoch": 0.4888888888888889,
"grad_norm": 23.25,
"learning_rate": 1.9765438887171327e-05,
"loss": 1.668856658935547,
"mean_token_accuracy": 0.6644712510704994,
"num_tokens": 480451.0,
"step": 275
},
{
"entropy": 1.669287955760956,
"epoch": 0.5333333333333333,
"grad_norm": 20.625,
"learning_rate": 1.9641197940012136e-05,
"loss": 1.648075714111328,
"mean_token_accuracy": 0.6689342276751995,
"num_tokens": 524418.0,
"step": 300
},
{
"entropy": 1.587462457716465,
"epoch": 0.5777777777777777,
"grad_norm": 21.625,
"learning_rate": 1.9491221827819348e-05,
"loss": 1.5674880981445312,
"mean_token_accuracy": 0.6790469540655613,
"num_tokens": 568093.0,
"step": 325
},
{
"entropy": 1.5877643951773643,
"epoch": 0.6222222222222222,
"grad_norm": 23.5,
"learning_rate": 1.9315910880512792e-05,
"loss": 1.5833602905273438,
"mean_token_accuracy": 0.67303916528821,
"num_tokens": 611875.0,
"step": 350
},
{
"entropy": 1.5628123182058333,
"epoch": 0.6666666666666666,
"grad_norm": 19.875,
"learning_rate": 1.911573305406528e-05,
"loss": 1.5389964294433593,
"mean_token_accuracy": 0.6916262510418892,
"num_tokens": 655258.0,
"step": 375
},
{
"entropy": 1.5605447962880135,
"epoch": 0.7111111111111111,
"grad_norm": 25.25,
"learning_rate": 1.8891222681391853e-05,
"loss": 1.5674354553222656,
"mean_token_accuracy": 0.6811535279452801,
"num_tokens": 698915.0,
"step": 400
},
{
"entropy": 1.5302811539173127,
"epoch": 0.7555555555555555,
"grad_norm": 21.0,
"learning_rate": 1.8642979046059595e-05,
"loss": 1.5149029541015624,
"mean_token_accuracy": 0.6928434443473815,
"num_tokens": 742608.0,
"step": 425
},
{
"entropy": 1.4984435787796975,
"epoch": 0.8,
"grad_norm": 20.5,
"learning_rate": 1.8371664782625287e-05,
"loss": 1.4783544921875,
"mean_token_accuracy": 0.6922086542844772,
"num_tokens": 785924.0,
"step": 450
},
{
"entropy": 1.4762829530239105,
"epoch": 0.8444444444444444,
"grad_norm": 22.875,
"learning_rate": 1.8078004107870797e-05,
"loss": 1.4516114807128906,
"mean_token_accuracy": 0.702991289794445,
"num_tokens": 829069.0,
"step": 475
},
{
"entropy": 1.5141191801428795,
"epoch": 0.8888888888888888,
"grad_norm": 20.75,
"learning_rate": 1.7762780887657576e-05,
"loss": 1.5113209533691405,
"mean_token_accuracy": 0.6913984973728656,
"num_tokens": 872824.0,
"step": 500
},
{
"entropy": 1.4147853454947472,
"epoch": 0.9333333333333333,
"grad_norm": 25.75,
"learning_rate": 1.74268365445604e-05,
"loss": 1.394475555419922,
"mean_token_accuracy": 0.712423055768013,
"num_tokens": 916212.0,
"step": 525
},
{
"entropy": 1.4362201416492462,
"epoch": 0.9777777777777777,
"grad_norm": 21.25,
"learning_rate": 1.7071067811865477e-05,
"loss": 1.4004106140136718,
"mean_token_accuracy": 0.7106147593259812,
"num_tokens": 959695.0,
"step": 550
},
{
"epoch": 1.0,
"eval_entropy": 1.3886345291137696,
"eval_loss": 1.3774118423461914,
"eval_mean_token_accuracy": 0.7105021185874939,
"eval_num_tokens": 981504.0,
"eval_runtime": 28.7124,
"eval_samples_per_second": 34.828,
"eval_steps_per_second": 4.354,
"step": 563
},
{
"entropy": 1.3702899970266285,
"epoch": 1.0213333333333334,
"grad_norm": 24.375,
"learning_rate": 1.6696424339928153e-05,
"loss": 1.2998457336425782,
"mean_token_accuracy": 0.7251553581077226,
"num_tokens": 1002442.0,
"step": 575
},
{
"entropy": 1.2198174016177654,
"epoch": 1.0657777777777777,
"grad_norm": 19.0,
"learning_rate": 1.6303906161279554e-05,
"loss": 1.1578231048583985,
"mean_token_accuracy": 0.7492367821931839,
"num_tokens": 1045974.0,
"step": 600
},
{
"entropy": 1.2214804862439632,
"epoch": 1.1102222222222222,
"grad_norm": 21.5,
"learning_rate": 1.5894561021248535e-05,
"loss": 1.1222823333740235,
"mean_token_accuracy": 0.7596075300872326,
"num_tokens": 1089691.0,
"step": 625
},
{
"entropy": 1.230571178793907,
"epoch": 1.1546666666666667,
"grad_norm": 18.25,
"learning_rate": 1.5469481581224274e-05,
"loss": 1.1252061462402343,
"mean_token_accuracy": 0.7554993903636933,
"num_tokens": 1133544.0,
"step": 650
},
{
"entropy": 1.2035815131664276,
"epoch": 1.199111111111111,
"grad_norm": 17.75,
"learning_rate": 1.5029802502024788e-05,
"loss": 1.1525257110595704,
"mean_token_accuracy": 0.7539819921553135,
"num_tokens": 1176944.0,
"step": 675
},
{
"entropy": 1.1947351975739002,
"epoch": 1.2435555555555555,
"grad_norm": 19.5,
"learning_rate": 1.4576697415156818e-05,
"loss": 1.1312750244140626,
"mean_token_accuracy": 0.755437722504139,
"num_tokens": 1220536.0,
"step": 700
},
{
"entropy": 1.2491805362701416,
"epoch": 1.288,
"grad_norm": 18.625,
"learning_rate": 1.4111375790051511e-05,
"loss": 1.1570246124267578,
"mean_token_accuracy": 0.7577420398592949,
"num_tokens": 1264076.0,
"step": 725
},
{
"entropy": 1.2654732164740563,
"epoch": 1.3324444444444445,
"grad_norm": 20.875,
"learning_rate": 1.3635079705638298e-05,
"loss": 1.1855599212646484,
"mean_token_accuracy": 0.751485439389944,
"num_tokens": 1308034.0,
"step": 750
},
{
"entropy": 1.2152655026316643,
"epoch": 1.3768888888888888,
"grad_norm": 20.25,
"learning_rate": 1.3149080534874519e-05,
"loss": 1.1257845306396483,
"mean_token_accuracy": 0.7632686151564121,
"num_tokens": 1351646.0,
"step": 775
},
{
"entropy": 1.193697052896023,
"epoch": 1.4213333333333333,
"grad_norm": 24.75,
"learning_rate": 1.2654675551080724e-05,
"loss": 1.121256103515625,
"mean_token_accuracy": 0.7563131806254387,
"num_tokens": 1395047.0,
"step": 800
},
{
"entropy": 1.1570866696536541,
"epoch": 1.4657777777777778,
"grad_norm": 22.25,
"learning_rate": 1.2153184465140413e-05,
"loss": 1.0696445465087892,
"mean_token_accuracy": 0.765836420059204,
"num_tokens": 1438280.0,
"step": 825
},
{
"entropy": 1.151665413379669,
"epoch": 1.5102222222222221,
"grad_norm": 17.75,
"learning_rate": 1.164594590280734e-05,
"loss": 1.0663511657714844,
"mean_token_accuracy": 0.7644271370768547,
"num_tokens": 1481978.0,
"step": 850
},
{
"entropy": 1.2120365902781487,
"epoch": 1.5546666666666666,
"grad_norm": 17.5,
"learning_rate": 1.1134313831523547e-05,
"loss": 1.1270946502685546,
"mean_token_accuracy": 0.7585732811689376,
"num_tokens": 1525597.0,
"step": 875
},
{
"entropy": 1.151113938242197,
"epoch": 1.5991111111111111,
"grad_norm": 21.5,
"learning_rate": 1.0619653946285948e-05,
"loss": 1.0662925720214844,
"mean_token_accuracy": 0.7686286368966102,
"num_tokens": 1568743.0,
"step": 900
},
{
"entropy": 1.162338248193264,
"epoch": 1.6435555555555554,
"grad_norm": 20.625,
"learning_rate": 1.0103340024208674e-05,
"loss": 1.0983226013183593,
"mean_token_accuracy": 0.7634404581785202,
"num_tokens": 1612238.0,
"step": 925
},
{
"entropy": 1.1956017450988292,
"epoch": 1.688,
"grad_norm": 18.625,
"learning_rate": 9.586750257511868e-06,
"loss": 1.1054475402832031,
"mean_token_accuracy": 0.7624230819940567,
"num_tokens": 1656115.0,
"step": 950
},
{
"entropy": 1.1524758899211884,
"epoch": 1.7324444444444445,
"grad_norm": 20.875,
"learning_rate": 9.0712635747253e-06,
"loss": 1.063654327392578,
"mean_token_accuracy": 0.7672438740730285,
"num_tokens": 1700143.0,
"step": 975
},
{
"entropy": 1.1726488883793353,
"epoch": 1.7768888888888887,
"grad_norm": 18.25,
"learning_rate": 8.558255959926533e-06,
"loss": 1.0800904846191406,
"mean_token_accuracy": 0.767799711227417,
"num_tokens": 1743486.0,
"step": 1000
},
{
"entropy": 1.1595972776412964,
"epoch": 1.8213333333333335,
"grad_norm": 22.125,
"learning_rate": 8.04909677983872e-06,
"loss": 1.100532989501953,
"mean_token_accuracy": 0.7661877936124801,
"num_tokens": 1787577.0,
"step": 1025
},
{
"entropy": 1.1869910764694214,
"epoch": 1.8657777777777778,
"grad_norm": 18.625,
"learning_rate": 7.545145128592009e-06,
"loss": 1.1068744659423828,
"mean_token_accuracy": 0.7658174222707749,
"num_tokens": 1831146.0,
"step": 1050
},
{
"entropy": 1.1678849336504937,
"epoch": 1.9102222222222223,
"grad_norm": 20.25,
"learning_rate": 7.0477461999055365e-06,
"loss": 1.104344940185547,
"mean_token_accuracy": 0.7647965340316296,
"num_tokens": 1875315.0,
"step": 1075
},
{
"entropy": 1.2021603246033192,
"epoch": 1.9546666666666668,
"grad_norm": 20.75,
"learning_rate": 6.558227696373617e-06,
"loss": 1.1086157989501952,
"mean_token_accuracy": 0.7716675865650177,
"num_tokens": 1918868.0,
"step": 1100
},
{
"entropy": 1.1465536914765835,
"epoch": 1.999111111111111,
"grad_norm": 24.0,
"learning_rate": 6.077896285440874e-06,
"loss": 1.0573983001708984,
"mean_token_accuracy": 0.7682515250146389,
"num_tokens": 1962187.0,
"step": 1125
},
{
"epoch": 2.0,
"eval_entropy": 1.1745851793289184,
"eval_loss": 1.2738397121429443,
"eval_mean_token_accuracy": 0.730101492881775,
"eval_num_tokens": 1963008.0,
"eval_runtime": 28.609,
"eval_samples_per_second": 34.954,
"eval_steps_per_second": 4.369,
"step": 1126
},
{
"entropy": 1.101325544167538,
"epoch": 2.042666666666667,
"grad_norm": 15.375,
"learning_rate": 5.608034111526298e-06,
"loss": 0.9211092376708985,
"mean_token_accuracy": 0.8091437579417715,
"num_tokens": 2004400.0,
"step": 1150
},
{
"entropy": 1.0406066159904004,
"epoch": 2.087111111111111,
"grad_norm": 20.5,
"learning_rate": 5.149895373606405e-06,
"loss": 0.9091825103759765,
"mean_token_accuracy": 0.8042202299833298,
"num_tokens": 2048143.0,
"step": 1175
},
{
"entropy": 1.0808034761250018,
"epoch": 2.1315555555555554,
"grad_norm": 18.0,
"learning_rate": 4.704702977392914e-06,
"loss": 0.9504242706298828,
"mean_token_accuracy": 0.7970917990803719,
"num_tokens": 2091837.0,
"step": 1200
},
{
"entropy": 1.0659918001294135,
"epoch": 2.176,
"grad_norm": 20.75,
"learning_rate": 4.2736452710412645e-06,
"loss": 0.9259893798828125,
"mean_token_accuracy": 0.8023737239837646,
"num_tokens": 2135628.0,
"step": 1225
},
{
"entropy": 1.0154806707799435,
"epoch": 2.2204444444444444,
"grad_norm": 20.0,
"learning_rate": 3.857872873103322e-06,
"loss": 0.8762107086181641,
"mean_token_accuracy": 0.8123826086521149,
"num_tokens": 2178782.0,
"step": 1250
},
{
"entropy": 1.0083947947621346,
"epoch": 2.2648888888888887,
"grad_norm": 21.375,
"learning_rate": 3.4584956011913693e-06,
"loss": 0.8710794830322266,
"mean_token_accuracy": 0.8071741372346878,
"num_tokens": 2222303.0,
"step": 1275
},
{
"entropy": 1.0441110938787461,
"epoch": 2.3093333333333335,
"grad_norm": 18.75,
"learning_rate": 3.0765795095517026e-06,
"loss": 0.9363404846191407,
"mean_token_accuracy": 0.7974440288543702,
"num_tokens": 2266083.0,
"step": 1300
},
{
"entropy": 1.0385051570832728,
"epoch": 2.3537777777777777,
"grad_norm": 20.625,
"learning_rate": 2.713144043455388e-06,
"loss": 0.9435790252685546,
"mean_token_accuracy": 0.8013337072730065,
"num_tokens": 2309679.0,
"step": 1325
},
{
"entropy": 1.041314078271389,
"epoch": 2.398222222222222,
"grad_norm": 18.25,
"learning_rate": 2.369159318001937e-06,
"loss": 0.9011815643310547,
"mean_token_accuracy": 0.8010741752386094,
"num_tokens": 2353394.0,
"step": 1350
},
{
"entropy": 1.045836333334446,
"epoch": 2.4426666666666668,
"grad_norm": 20.625,
"learning_rate": 2.045543528599607e-06,
"loss": 0.9371556091308594,
"mean_token_accuracy": 0.8022435599565506,
"num_tokens": 2397064.0,
"step": 1375
},
{
"entropy": 1.02559718221426,
"epoch": 2.487111111111111,
"grad_norm": 16.875,
"learning_rate": 1.743160500034443e-06,
"loss": 0.9111165618896484,
"mean_token_accuracy": 0.8056430542469024,
"num_tokens": 2440899.0,
"step": 1400
},
{
"entropy": 0.9850550366938114,
"epoch": 2.5315555555555553,
"grad_norm": 18.25,
"learning_rate": 1.4628173806703594e-06,
"loss": 0.8460595703125,
"mean_token_accuracy": 0.814309296309948,
"num_tokens": 2484527.0,
"step": 1425
},
{
"entropy": 1.0671714194118977,
"epoch": 2.576,
"grad_norm": 16.5,
"learning_rate": 1.2052624879351105e-06,
"loss": 0.9366078186035156,
"mean_token_accuracy": 0.7982332086563111,
"num_tokens": 2528184.0,
"step": 1450
},
{
"entropy": 1.0057188278436662,
"epoch": 2.6204444444444444,
"grad_norm": 18.25,
"learning_rate": 9.711833108431234e-07,
"loss": 0.8691239929199219,
"mean_token_accuracy": 0.8100746890902519,
"num_tokens": 2571871.0,
"step": 1475
},
{
"entropy": 1.0419890847057105,
"epoch": 2.664888888888889,
"grad_norm": 18.25,
"learning_rate": 7.612046748871327e-07,
"loss": 0.8980624389648437,
"mean_token_accuracy": 0.8050528278946877,
"num_tokens": 2615338.0,
"step": 1500
},
{
"entropy": 1.0672108069062234,
"epoch": 2.7093333333333334,
"grad_norm": 21.25,
"learning_rate": 5.758870741969635e-07,
"loss": 0.9245491790771484,
"mean_token_accuracy": 0.8008973941206932,
"num_tokens": 2659309.0,
"step": 1525
},
{
"entropy": 1.0332248322665691,
"epoch": 2.7537777777777777,
"grad_norm": 17.25,
"learning_rate": 4.1572517541747294e-07,
"loss": 0.9085790252685547,
"mean_token_accuracy": 0.8022564603388309,
"num_tokens": 2703096.0,
"step": 1550
},
{
"entropy": 1.0293236848711969,
"epoch": 2.7982222222222224,
"grad_norm": 18.125,
"learning_rate": 2.811464972992195e-07,
"loss": 0.8811993408203125,
"mean_token_accuracy": 0.8039135798811913,
"num_tokens": 2746647.0,
"step": 1575
},
{
"entropy": 1.0229834078252316,
"epoch": 2.8426666666666667,
"grad_norm": 25.625,
"learning_rate": 1.7251026952640583e-07,
"loss": 0.90928466796875,
"mean_token_accuracy": 0.806032055914402,
"num_tokens": 2790363.0,
"step": 1600
},
{
"entropy": 1.051690325587988,
"epoch": 2.887111111111111,
"grad_norm": 21.75,
"learning_rate": 9.010647382825421e-08,
"loss": 0.9022364807128906,
"mean_token_accuracy": 0.8011369660496712,
"num_tokens": 2834043.0,
"step": 1625
},
{
"entropy": 0.9921600778400897,
"epoch": 2.9315555555555557,
"grad_norm": 21.75,
"learning_rate": 3.4155069933301535e-08,
"loss": 0.8524517822265625,
"mean_token_accuracy": 0.8153755596280098,
"num_tokens": 2877282.0,
"step": 1650
},
{
"entropy": 1.0421569736301899,
"epoch": 2.976,
"grad_norm": 20.625,
"learning_rate": 4.80540843283972e-09,
"loss": 0.93547607421875,
"mean_token_accuracy": 0.8020336532592773,
"num_tokens": 2920814.0,
"step": 1675
},
{
"epoch": 3.0,
"eval_entropy": 1.1009210176467896,
"eval_loss": 1.3000445365905762,
"eval_mean_token_accuracy": 0.7269604291915893,
"eval_num_tokens": 2944512.0,
"eval_runtime": 28.9685,
"eval_samples_per_second": 34.52,
"eval_steps_per_second": 4.315,
"step": 1689
}
],
"logging_steps": 25,
"max_steps": 1689,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 7572413980065792.0,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}

3
checkpoint-1689/training_args.bin Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:355351641492ac43c5b6480ea76c78a8467059a8b861f06d7c50a5d5d9ef8de5
size 5777