Delete with_knowledge_without_select

with_knowledge_without_select/all_results.json

@@ -1,7 +0,0 @@
-{
-    "epoch": 3.0,
-    "train_loss": 0.24650317042592973,
-    "train_runtime": 47469.8541,
-    "train_samples_per_second": 0.159,
-    "train_steps_per_second": 0.013
-}

with_knowledge_without_select/final/README.md

@@ -1,220 +0,0 @@
----
-library_name: peft
-base_model: /data0/maqi/huggingface_models/option2-models/option2-race_ft
----
-
-# 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. -->
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-[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]
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-#### Hardware
-
-[More Information Needed]
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-#### Software
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-[More Information Needed]
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-## Citation [optional]
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-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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-**BibTeX:**
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-[More Information Needed]
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-**APA:**
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-[More Information Needed]
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-## Glossary [optional]
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-[More Information Needed]
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-## More Information [optional]
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-[More Information Needed]
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-## Model Card Authors [optional]
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-[More Information Needed]
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-## Model Card Contact
-
-[More Information Needed]
-
-
-## Training procedure
-
-
-The following `bitsandbytes` quantization config was used during training:
-- quant_method: bitsandbytes
-- load_in_8bit: False
-- load_in_4bit: True
-- llm_int8_threshold: 6.0
-- llm_int8_skip_modules: None
-- llm_int8_enable_fp32_cpu_offload: False
-- llm_int8_has_fp16_weight: False
-- bnb_4bit_quant_type: nf4
-- bnb_4bit_use_double_quant: True
-- bnb_4bit_compute_dtype: float16
-
-### Framework versions
-
-
-- PEFT 0.6.2

with_knowledge_without_select/final/adapter_config.json

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-{
-  "alpha_pattern": {},
-  "auto_mapping": null,
-  "base_model_name_or_path": "/data0/maqi/huggingface_models/option2-models/option2-race_ft",
-  "bias": "none",
-  "fan_in_fan_out": false,
-  "inference_mode": true,
-  "init_lora_weights": true,
-  "layers_pattern": null,
-  "layers_to_transform": null,
-  "lora_alpha": 64,
-  "lora_dropout": 0.05,
-  "modules_to_save": null,
-  "peft_type": "LORA",
-  "r": 128,
-  "rank_pattern": {},
-  "revision": null,
-  "target_modules": [
-    "up_proj",
-    "down_proj",
-    "gate_proj",
-    "o_proj",
-    "q_proj",
-    "k_proj",
-    "v_proj"
-  ],
-  "task_type": "CAUSAL_LM"
-}

with_knowledge_without_select/final/adapter_model.bin

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-oid sha256:4a1429158c790d1becf011898d48ed0601e2b6dfa38b40f14e1449b24ea42aef
-size 1279424269

with_knowledge_without_select/final/training_args.bin

@@ -1,3 +0,0 @@
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-oid sha256:3efe626ae8f33f10a23deae32e45180f578e74c071c6ca52a2cf0408a1fb0f2c
-size 4155

with_knowledge_without_select/runs/Dec16_23-07-37_user/events.out.tfevents.1702739325.user

@@ -1,3 +0,0 @@
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-oid sha256:5dada0c281e039239de76c55e28fe00616d8f670e29b6dec2e8db93a9ac04be7
-size 11574

with_knowledge_without_select/train.log

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-model training desc:  做知识选择，使用QuALITY数据集，随机选择的知识和关键句训练
-2023-12-16 23:07:37.734 | INFO     | __main__:init_components:108 - Initializing components...
-
-You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>. If you see this, DO NOT PANIC! This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thouroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565
-2023-12-16 23:08:41.148 | INFO     | __main__:init_components:155 - 
-
-2023-12-16 23:08:41.148 | INFO     | __main__:init_components:156 - ********************
-2023-12-16 23:08:41.148 | INFO     | __main__:init_components:157 - using llama2 model
-2023-12-16 23:08:41.148 | INFO     | __main__:init_components:158 - ********************
-2023-12-16 23:08:41.148 | INFO     | __main__:init_components:159 - 
-
-memory footprint of model: 4.024436950683594 GB
-trainable params: 319,815,680 || all params: 7,058,231,296 || trainable%: 4.531102291607305
-2023-12-16 23:08:44.549 | INFO     | component.dataset:__init__:14 - Loading data: /data0/maqi/KGLQA-data/datasets/QuALITY/random_select/with_knowledge_without_select_instruction/train.jsonl
-2023-12-16 23:08:44.647 | INFO     | component.dataset:__init__:19 - there are 2523 data in dataset
-2023-12-16 23:08:44.773 | INFO     | __main__:main:231 - *** starting training ***
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-
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-
-***** train metrics *****
-  epoch                    =         3.0
-  train_loss               =      0.2465
-  train_runtime            = 13:11:09.85
-  train_samples_per_second =       0.159
-  train_steps_per_second   =       0.013

with_knowledge_without_select/train_results.json

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-{
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with_knowledge_without_select/trainer_state.json

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-{
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with_knowledge_without_select/with_knowledge_without_select.json

@@ -1,31 +0,0 @@
-{
-    "desc": "做知识选择，使用QuALITY数据集，随机选择的知识和关键句训练",
-    "output_dir": "output/ablation_study/option-2/QuALITY/with_knowledge_without_select",
-    "model_name_or_path": "/data0/maqi/huggingface_models/option2-models/option2-race_ft",
-    "train_file": "/data0/maqi/KGLQA-data/datasets/QuALITY/random_select/with_knowledge_without_select_instruction/train.jsonl",
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-    "save_steps": 1000,
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-    "lora_rank": 128,
-    "lora_alpha": 64,
-    "lora_dropout": 0.05,
-
-    "gradient_checkpointing": true,
-    "disable_tqdm": false,
-    "optim": "paged_adamw_32bit",
-    "seed": 318,
-    "fp16": true,
-    "report_to": "tensorboard",
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