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README.md

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+---
+library_name: peft
+base_model: Qwen/Qwen-7B-Chat
+---
+
+# 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 0.7.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen-7B-Chat",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "c_proj",
+    "c_attn",
+    "w2",
+    "w1"
+  ],
+  "task_type": "FEATURE_EXTRACTION"
+}

adapter_model.safetensors

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running_args.txt

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+start time: Mon Feb 26 22:02:21 2024
+
+{
+    "model_name_or_path": "Qwen/Qwen-7B-Chat",
+    "model_type": "qwen_chat_cot_lora",
+    "model_dtype": "auto",
+    "freezed_model_name_or_path": null,
+    "freezed_model_type": null,
+    "freezed_model_dtype": "auto",
+    "normalize_emb": true
+}
+
+{
+    "data_path_list": null,
+    "tevatron_msmarco_data_path_list": [
+        "/share/kelong/cis_datasets/msmarco/train.jsonl"
+    ],
+    "msmarco_data_path_list": null,
+    "instruct_data_path_list": null,
+    "chat_data_path_list": [
+        "/share/kelong/cis_datasets/ultrachat/train.qaw.jsonl"
+    ],
+    "convsearch_data_path_list": null,
+    "aug_convsearch_data_path_list": null,
+    "neg_type": "hard",
+    "neg_num": 4,
+    "collection_path": null,
+    "num_psg_per_block": 5000000,
+    "query_field_name": "session",
+    "only_last_response": false,
+    "max_q_len": 640,
+    "max_p_len": 384,
+    "filter_no_pos": true,
+    "directly_filter_too_long_session": true,
+    "use_data_percent": 0.1,
+    "data_percent_has_been_used": 0.0,
+    "data_output_dir": null,
+    "force_emptying_dir": true,
+    "allow_dir_exist": false,
+    "index_dir": null,
+    "embedding_size": 768,
+    "num_split_block": 1,
+    "qrel_path": null
+}
+
+{
+    "min_lr": 0.0,
+    "temperature": 0.01,
+    "loss_type": "ranking",
+    "regularizer_type": null,
+    "ranking_loss_weight": 1.0,
+    "kd_loss_weight": 0.0,
+    "regularization_weight": 0.0,
+    "inst_loss_weight": 0.2,
+    "use_query_mask": true
+}
+
+{
+    "output_dir": "./checkpoints/lora--qwenchat7b--cot--mcit_qm_02--ultrachat_qaw+msmarco",
+    "overwrite_output_dir": false,
+    "do_train": false,
+    "do_eval": false,
+    "do_predict": false,
+    "evaluation_strategy": "no",
+    "prediction_loss_only": false,
+    "per_device_train_batch_size": 8,
+    "per_device_eval_batch_size": 8,
+    "per_gpu_train_batch_size": null,
+    "per_gpu_eval_batch_size": null,
+    "gradient_accumulation_steps": 4,
+    "eval_accumulation_steps": null,
+    "eval_delay": 0,
+    "learning_rate": 0.0001,
+    "weight_decay": 0.0,
+    "adam_beta1": 0.9,
+    "adam_beta2": 0.999,
+    "adam_epsilon": 1e-08,
+    "max_grad_norm": 1.0,
+    "num_train_epochs": 1.0,
+    "max_steps": -1,
+    "lr_scheduler_type": "linear",
+    "lr_scheduler_kwargs": {},
+    "warmup_ratio": 0.0,
+    "warmup_steps": 50,
+    "log_level": "info",
+    "log_level_replica": "warning",
+    "log_on_each_node": true,
+    "logging_dir": "./checkpoints/lora--qwenchat7b--cot--mcit_qm_02--ultrachat_qaw+msmarco/runs/Feb26_17-51-30_8943c6c7b365",
+    "logging_strategy": "steps",
+    "logging_first_step": false,
+    "logging_steps": 1.0,
+    "logging_nan_inf_filter": true,
+    "save_strategy": "steps",
+    "save_steps": 200,
+    "save_total_limit": 100,
+    "save_safetensors": true,
+    "save_on_each_node": false,
+    "save_only_model": false,
+    "no_cuda": false,
+    "use_cpu": false,
+    "use_mps_device": false,
+    "seed": 42,
+    "data_seed": null,
+    "jit_mode_eval": false,
+    "use_ipex": false,
+    "bf16": true,
+    "fp16": false,
+    "fp16_opt_level": "O1",
+    "half_precision_backend": "auto",
+    "bf16_full_eval": false,
+    "fp16_full_eval": false,
+    "tf32": null,
+    "local_rank": 0,
+    "ddp_backend": null,
+    "tpu_num_cores": null,
+    "tpu_metrics_debug": false,
+    "debug": [],
+    "dataloader_drop_last": false,
+    "eval_steps": null,
+    "dataloader_num_workers": 0,
+    "dataloader_prefetch_factor": null,
+    "past_index": -1,
+    "run_name": "cot--mcit_qm_02--train_on_ultrachat_qaw+msmarco_10%",
+    "disable_tqdm": false,
+    "remove_unused_columns": true,
+    "label_names": null,
+    "load_best_model_at_end": false,
+    "metric_for_best_model": null,
+    "greater_is_better": null,
+    "ignore_data_skip": false,
+    "fsdp": [],
+    "fsdp_min_num_params": 0,
+    "fsdp_config": {
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+        "xla": false,
+        "xla_fsdp_v2": false,
+        "xla_fsdp_grad_ckpt": false
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+    "fsdp_transformer_layer_cls_to_wrap": null,
+    "deepspeed": "ds_config.1.json",
+    "label_smoothing_factor": 0.0,
+    "optim": "adamw_torch",
+    "optim_args": null,
+    "adafactor": false,
+    "group_by_length": false,
+    "length_column_name": "length",
+    "report_to": [
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+    "ddp_bucket_cap_mb": null,
+    "ddp_broadcast_buffers": null,
+    "dataloader_pin_memory": true,
+    "dataloader_persistent_workers": false,
+    "skip_memory_metrics": true,
+    "use_legacy_prediction_loop": false,
+    "push_to_hub": false,
+    "resume_from_checkpoint": null,
+    "hub_model_id": null,
+    "hub_strategy": "every_save",
+    "hub_token": null,
+    "hub_private_repo": false,
+    "hub_always_push": false,
+    "gradient_checkpointing": true,
+    "gradient_checkpointing_kwargs": null,
+    "include_inputs_for_metrics": false,
+    "fp16_backend": "auto",
+    "push_to_hub_model_id": null,
+    "push_to_hub_organization": null,
+    "push_to_hub_token": null,
+    "mp_parameters": "",
+    "auto_find_batch_size": false,
+    "full_determinism": false,
+    "torchdynamo": null,
+    "ray_scope": "last",
+    "ddp_timeout": 1800,
+    "torch_compile": false,
+    "torch_compile_backend": null,
+    "torch_compile_mode": null,
+    "dispatch_batches": null,
+    "split_batches": null,
+    "include_tokens_per_second": false,
+    "include_num_input_tokens_seen": false,
+    "neftune_noise_alpha": null,
+    "_n_gpu": 1
+}
+

special_tokens_map.json

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+{
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|extra_3|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {},
+  "auto_map": {
+    "AutoTokenizer": [
+      "Qwen/Qwen-7B-Chat--tokenization_qwen.QWenTokenizer",
+      null
+    ]
+  },
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 32768,
+  "pad_token": "<|extra_3|>",
+  "tokenizer_class": "QWenTokenizer"
+}

training_args.bin

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