chanceQZhang/zhihu-tech-zhichang-qwen-7b
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: chanceQZhang/zhihu-tech-zhichang-qwen-7b
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-28 21:43:23 +08:00
commit 609d4f369e
61 changed files with 609288 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

208
checkpoint-302/README.md Normal file
View File

@@ -0,0 +1,208 @@
---
base_model: Orion-zhen/Meissa-Qwen2.5-7B-Instruct
library_name: peft
pipeline_tag: text-generation
tags:
- axolotl
- base_model:adapter:Orion-zhen/Meissa-Qwen2.5-7B-Instruct
- lora
- transformers
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
### Framework versions
- PEFT 0.18.1

46
checkpoint-302/adapter_config.json Normal file
View File

@@ -0,0 +1,46 @@
{
"alora_invocation_tokens": null,
"alpha_pattern": {},
"arrow_config": null,
"auto_mapping": null,
"base_model_name_or_path": "Orion-zhen/Meissa-Qwen2.5-7B-Instruct",
"bias": "none",
"corda_config": null,
"ensure_weight_tying": false,
"eva_config": null,
"exclude_modules": null,
"fan_in_fan_out": null,
"inference_mode": true,
"init_lora_weights": true,
"layer_replication": null,
"layers_pattern": null,
"layers_to_transform": null,
"loftq_config": {},
"lora_alpha": 32,
"lora_bias": false,
"lora_dropout": 0.1,
"megatron_config": null,
"megatron_core": "megatron.core",
"modules_to_save": null,
"peft_type": "LORA",
"peft_version": "0.18.1",
"qalora_group_size": 16,
"r": 8,
"rank_pattern": {},
"revision": null,
"target_modules": [
"o_proj",
"k_proj",
"q_proj",
"up_proj",
"down_proj",
"gate_proj",
"v_proj"
],
"target_parameters": [],
"task_type": "CAUSAL_LM",
"trainable_token_indices": null,
"use_dora": false,
"use_qalora": false,
"use_rslora": false
}

3
checkpoint-302/adapter_model.safetensors Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:56bd0f8891bca69dda6c673dbc88ff6cf78f965711103973ca65bdaf4e6bd309
size 80792096

24
checkpoint-302/added_tokens.json Normal file
View File

@@ -0,0 +1,24 @@
{
"</tool_call>": 151658,
"<tool_call>": 151657,
"<|box_end|>": 151649,
"<|box_start|>": 151648,
"<|endoftext|>": 151643,
"<|file_sep|>": 151664,
"<|fim_middle|>": 151660,
"<|fim_pad|>": 151662,
"<|fim_prefix|>": 151659,
"<|fim_suffix|>": 151661,
"<|im_end|>": 151645,
"<|im_start|>": 151644,
"<|image_pad|>": 151655,
"<|object_ref_end|>": 151647,
"<|object_ref_start|>": 151646,
"<|quad_end|>": 151651,
"<|quad_start|>": 151650,
"<|repo_name|>": 151663,
"<|video_pad|>": 151656,
"<|vision_end|>": 151653,
"<|vision_pad|>": 151654,
"<|vision_start|>": 151652
}

7
checkpoint-302/chat_template.jinja Normal file
View File

@@ -0,0 +1,7 @@
{% set system_message = 'You are a helpful assistant.' %}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ '<|im_start|>system
' + system_message + '<|im_end|>
' }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user
' + content + '<|im_end|>
<|im_start|>assistant
' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '
' }}{% endif %}{% endfor %}

151388
checkpoint-302/merges.txt Normal file
View File

File diff suppressed because it is too large Load Diff

3
checkpoint-302/optimizer.pt Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0aa25085a7d953219bf1b55fbc4057a1d7f93f43ee341b0ef4ddb28446d1d016
size 161816187

3
checkpoint-302/rng_state.pth Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:16f931e11c4d8957d73d287061121ca665ca3d69134cbd0f34b75f951511e096
size 14645

3
checkpoint-302/scheduler.pt Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:62d20745a4ca91b8c8b2f758e808c91bb0c71122f057d12f02d187230839a8f9
size 1465

31
checkpoint-302/special_tokens_map.json Normal file
View File

@@ -0,0 +1,31 @@
{
"additional_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|>"
],
"eos_token": {
"content": "<|im_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"pad_token": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
}

3
checkpoint-302/tokenizer.json Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
size 11421896

208
checkpoint-302/tokenizer_config.json Normal file
View File

@@ -0,0 +1,208 @@
{
"add_bos_token": false,
"add_prefix_space": false,
"added_tokens_decoder": {
"151643": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151644": {
"content": "<|im_start|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151645": {
"content": "<|im_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151646": {
"content": "<|object_ref_start|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151647": {
"content": "<|object_ref_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151648": {
"content": "<|box_start|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151649": {
"content": "<|box_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151650": {
"content": "<|quad_start|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151651": {
"content": "<|quad_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151652": {
"content": "<|vision_start|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151653": {
"content": "<|vision_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151654": {
"content": "<|vision_pad|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151655": {
"content": "<|image_pad|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151656": {
"content": "<|video_pad|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151657": {
"content": "<tool_call>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151658": {
"content": "</tool_call>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151659": {
"content": "<|fim_prefix|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151660": {
"content": "<|fim_middle|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151661": {
"content": "<|fim_suffix|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151662": {
"content": "<|fim_pad|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151663": {
"content": "<|repo_name|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151664": {
"content": "<|file_sep|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
}
},
"additional_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|>"
],
"bos_token": null,
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"extra_special_tokens": {},
"model_max_length": 131072,
"pad_token": "<|endoftext|>",
"padding_side": "left",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}

1
checkpoint-302/tokens_state. Normal file
View File

@@ -0,0 +1 @@
{"total": 11104256, "trainable": 9633577}

454
checkpoint-302/trainer_state.json Normal file
View File

@@ -0,0 +1,454 @@
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.1229813664596273,
"eval_steps": 500,
"global_step": 302,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.037267080745341616,
"grad_norm": 0.19933472573757172,
"learning_rate": 2.8125000000000003e-05,
"loss": 3.1896,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 24.27871,
"step": 10,
"tokens/total": 368640,
"tokens/train_per_sec_per_gpu": 44.07,
"tokens/trainable": 321256
},
{
"epoch": 0.07453416149068323,
"grad_norm": 0.2485538274049759,
"learning_rate": 4.9995893860576395e-05,
"loss": 3.1828,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 24.11418,
"step": 20,
"tokens/total": 737280,
"tokens/train_per_sec_per_gpu": 43.47,
"tokens/trainable": 643308
},
{
"epoch": 0.11180124223602485,
"grad_norm": 0.16610555350780487,
"learning_rate": 4.99229333433282e-05,
"loss": 3.1795,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 24.03473,
"step": 30,
"tokens/total": 1105920,
"tokens/train_per_sec_per_gpu": 44.23,
"tokens/trainable": 962499
},
{
"epoch": 0.14906832298136646,
"grad_norm": 0.16600094735622406,
"learning_rate": 4.975903174511846e-05,
"loss": 3.1002,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 22.20239,
"step": 40,
"tokens/total": 1474560,
"tokens/train_per_sec_per_gpu": 45.06,
"tokens/trainable": 1283109
},
{
"epoch": 0.18633540372670807,
"grad_norm": 0.17242471873760223,
"learning_rate": 4.950478712510446e-05,
"loss": 3.0775,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 21.70407,
"step": 50,
"tokens/total": 1843200,
"tokens/train_per_sec_per_gpu": 45.42,
"tokens/trainable": 1603821
},
{
"epoch": 0.2236024844720497,
"grad_norm": 0.17550165951251984,
"learning_rate": 4.9161127194332655e-05,
"loss": 3.1334,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 22.95188,
"step": 60,
"tokens/total": 2211840,
"tokens/train_per_sec_per_gpu": 43.85,
"tokens/trainable": 1925471
},
{
"epoch": 0.2608695652173913,
"grad_norm": 0.18663033843040466,
"learning_rate": 4.872930593062168e-05,
"loss": 3.1937,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 24.37846,
"step": 70,
"tokens/total": 2580480,
"tokens/train_per_sec_per_gpu": 44.7,
"tokens/trainable": 2242912
},
{
"epoch": 0.2981366459627329,
"grad_norm": 0.20098601281642914,
"learning_rate": 4.8210899002933235e-05,
"loss": 3.1263,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 22.7895,
"step": 80,
"tokens/total": 2949120,
"tokens/train_per_sec_per_gpu": 44.38,
"tokens/trainable": 2562908
},
{
"epoch": 0.33540372670807456,
"grad_norm": 0.18968884646892548,
"learning_rate": 4.760779802192698e-05,
"loss": 3.142,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 23.15012,
"step": 90,
"tokens/total": 3317760,
"tokens/train_per_sec_per_gpu": 46.02,
"tokens/trainable": 2881497
},
{
"epoch": 0.37267080745341613,
"grad_norm": 0.21494834125041962,
"learning_rate": 4.692220363767833e-05,
"loss": 3.1794,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 24.03233,
"step": 100,
"tokens/total": 3686400,
"tokens/train_per_sec_per_gpu": 44.95,
"tokens/trainable": 3199097
},
{
"epoch": 0.40993788819875776,
"grad_norm": 0.20388352870941162,
"learning_rate": 4.6156617509745015e-05,
"loss": 3.1358,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 23.00703,
"step": 110,
"tokens/total": 4055040,
"tokens/train_per_sec_per_gpu": 44.96,
"tokens/trainable": 3517985
},
{
"epoch": 0.4472049689440994,
"grad_norm": 0.22123299539089203,
"learning_rate": 4.531383317888261e-05,
"loss": 3.1032,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 22.2691,
"step": 120,
"tokens/total": 4423680,
"tokens/train_per_sec_per_gpu": 41.16,
"tokens/trainable": 3837324
},
{
"epoch": 0.484472049689441,
"grad_norm": 0.2072950154542923,
"learning_rate": 4.439692587371731e-05,
"loss": 3.1074,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 22.36283,
"step": 130,
"tokens/total": 4792320,
"tokens/train_per_sec_per_gpu": 46.1,
"tokens/trainable": 4159485
},
{
"epoch": 0.5217391304347826,
"grad_norm": 0.22470185160636902,
"learning_rate": 4.3409241289570156e-05,
"loss": 3.0826,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 21.81505,
"step": 140,
"tokens/total": 5160960,
"tokens/train_per_sec_per_gpu": 45.04,
"tokens/trainable": 4479023
},
{
"epoch": 0.5590062111801242,
"grad_norm": 0.23675978183746338,
"learning_rate": 4.235438338037764e-05,
"loss": 3.0895,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 21.96609,
"step": 150,
"tokens/total": 5529600,
"tokens/train_per_sec_per_gpu": 44.54,
"tokens/trainable": 4798599
},
{
"epoch": 0.5962732919254659,
"grad_norm": 0.22080311179161072,
"learning_rate": 4.123620120825459e-05,
"loss": 3.0991,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 22.17798,
"step": 160,
"tokens/total": 5898240,
"tokens/train_per_sec_per_gpu": 45.18,
"tokens/trainable": 5117093
},
{
"epoch": 0.6335403726708074,
"grad_norm": 0.22512708604335785,
"learning_rate": 4.005877489868401e-05,
"loss": 3.1219,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 22.68945,
"step": 170,
"tokens/total": 6266880,
"tokens/train_per_sec_per_gpu": 43.85,
"tokens/trainable": 5436542
},
{
"epoch": 0.6708074534161491,
"grad_norm": 0.22725142538547516,
"learning_rate": 3.88264007525816e-05,
"loss": 3.167,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 23.73617,
"step": 180,
"tokens/total": 6635520,
"tokens/train_per_sec_per_gpu": 45.1,
"tokens/trainable": 5757152
},
{
"epoch": 0.7080745341614907,
"grad_norm": 0.23717202246189117,
"learning_rate": 3.754357556955966e-05,
"loss": 3.1361,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 23.01394,
"step": 190,
"tokens/total": 7004160,
"tokens/train_per_sec_per_gpu": 42.08,
"tokens/trainable": 6076610
},
{
"epoch": 0.7453416149068323,
"grad_norm": 0.2373926043510437,
"learning_rate": 3.621498023959294e-05,
"loss": 3.1262,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 22.78722,
"step": 200,
"tokens/total": 7372800,
"tokens/train_per_sec_per_gpu": 44.68,
"tokens/trainable": 6396405
},
{
"epoch": 0.782608695652174,
"grad_norm": 0.22468852996826172,
"learning_rate": 3.484546266295883e-05,
"loss": 3.1138,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 22.50641,
"step": 210,
"tokens/total": 7741440,
"tokens/train_per_sec_per_gpu": 43.14,
"tokens/trainable": 6714000
},
{
"epoch": 0.8198757763975155,
"grad_norm": 0.23512248694896698,
"learning_rate": 3.344002006077487e-05,
"loss": 3.113,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 22.48841,
"step": 220,
"tokens/total": 8110080,
"tokens/train_per_sec_per_gpu": 44.86,
"tokens/trainable": 7034597
},
{
"epoch": 0.8571428571428571,
"grad_norm": 0.23428736627101898,
"learning_rate": 3.200378074068092e-05,
"loss": 3.0454,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 21.01844,
"step": 230,
"tokens/total": 8478720,
"tokens/train_per_sec_per_gpu": 44.72,
"tokens/trainable": 7357866
},
{
"epoch": 0.8944099378881988,
"grad_norm": 0.25676628947257996,
"learning_rate": 3.0541985384200686e-05,
"loss": 3.1156,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 22.54695,
"step": 240,
"tokens/total": 8847360,
"tokens/train_per_sec_per_gpu": 44.71,
"tokens/trainable": 7675991
},
{
"epoch": 0.9316770186335404,
"grad_norm": 0.2449398934841156,
"learning_rate": 2.9059967924063153e-05,
"loss": 3.1204,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 22.65544,
"step": 250,
"tokens/total": 9216000,
"tokens/train_per_sec_per_gpu": 45.14,
"tokens/trainable": 7995656
},
{
"epoch": 0.968944099378882,
"grad_norm": 0.2541828453540802,
"learning_rate": 2.7563136081260582e-05,
"loss": 3.1261,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 22.78494,
"step": 260,
"tokens/total": 9584640,
"tokens/train_per_sec_per_gpu": 42.8,
"tokens/trainable": 8314538
},
{
"epoch": 1.0037267080745342,
"grad_norm": 0.24245300889015198,
"learning_rate": 2.6056951632860976e-05,
"loss": 3.0867,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 21.90467,
"step": 270,
"tokens/total": 9924608,
"tokens/train_per_sec_per_gpu": 45.48,
"tokens/trainable": 8609040
},
{
"epoch": 1.0409937888198757,
"grad_norm": 0.2593900263309479,
"learning_rate": 2.4546910482575908e-05,
"loss": 3.0741,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 21.63041,
"step": 280,
"tokens/total": 10293248,
"tokens/train_per_sec_per_gpu": 44.2,
"tokens/trainable": 8927894
},
{
"epoch": 1.0782608695652174,
"grad_norm": 0.2553490996360779,
"learning_rate": 2.303852260680388e-05,
"loss": 3.0859,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 21.88716,
"step": 290,
"tokens/total": 10661888,
"tokens/train_per_sec_per_gpu": 46.62,
"tokens/trainable": 9250881
},
{
"epoch": 1.115527950310559,
"grad_norm": 0.2889447510242462,
"learning_rate": 2.1537291949324007e-05,
"loss": 3.0993,
"memory/device_reserved (GiB)": 45.16,
"memory/max_active (GiB)": 37.89,
"memory/max_allocated (GiB)": 37.89,
"ppl": 22.18242,
"step": 300,
"tokens/total": 11030528,
"tokens/train_per_sec_per_gpu": 43.46,
"tokens/trainable": 9569197
}
],
"logging_steps": 10,
"max_steps": 536,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 302,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 4.7242863209506406e+17,
"train_batch_size": 6,
"trial_name": null,
"trial_params": null
}

3
checkpoint-302/training_args.bin Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a4e3f01ef14d3ae1fce2d05266687ff3783968fc7afb23454eabe24a96b85868
size 7313

1
checkpoint-302/vocab.json Normal file
View File

File diff suppressed because one or more lines are too long