generated from xuyuqing/ailab
update qlora weight
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---
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library_name: peft
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base_model: /home/sdk_models/llama2-7b-hf/
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Paper [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- 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. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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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).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[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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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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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
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[More Information Needed]
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### Framework versions
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- PEFT 0.7.1
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "/home/sdk_models/llama2-7b-hf/",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32.0,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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{
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"epoch": 49.48,
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"eval_loss": 1.4058780670166016,
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"eval_runtime": 3.3088,
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"eval_samples_per_second": 232.711,
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"eval_steps_per_second": 7.556,
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"train_loss": 1.4999438818295796,
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"train_runtime": 2257.7963,
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"train_samples_per_second": 68.164,
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"train_steps_per_second": 0.531
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}
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{
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"epoch": 49.48,
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"eval_loss": 1.4058780670166016,
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"eval_runtime": 3.3088,
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"eval_samples_per_second": 232.711,
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"eval_steps_per_second": 7.556
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}
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{
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"epoch": 49.48,
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"train_loss": 1.4999438818295796,
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"train_runtime": 2257.7963,
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"train_samples_per_second": 68.164,
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"train_steps_per_second": 0.531
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}
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{
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"output_dir": "test/ailabmodel/my_llama2_wenan_qlora_50e",
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"overwrite_output_dir": false,
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"do_train": false,
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"do_eval": true,
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"do_predict": false,
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"evaluation_strategy": "epoch",
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"prediction_loss_only": false,
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"per_device_train_batch_size": 4,
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"per_device_eval_batch_size": 4,
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"per_gpu_train_batch_size": null,
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"per_gpu_eval_batch_size": null,
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"gradient_accumulation_steps": 4,
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"eval_accumulation_steps": null,
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"eval_delay": 0,
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"learning_rate": 5e-05,
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"weight_decay": 0,
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"adam_beta1": 0.9,
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"adam_beta2": 0.999,
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"adam_epsilon": 1e-08,
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"max_grad_norm": 1.0,
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"num_train_epochs": 50,
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"max_steps": -1,
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"lr_scheduler_type": "cosine",
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"warmup_ratio": 0.03,
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"warmup_steps": 0,
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"log_level": "passive",
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"log_level_replica": "warning",
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"log_on_each_node": true,
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"logging_dir": "test/ailabmodel/my_llama2_wenan_qlora_50e/runs/Jan26_12-05-51_hu-ailab-10-101-3-63.atp.cn",
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"logging_strategy": "steps",
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"logging_first_step": false,
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"logging_steps": 10,
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"logging_nan_inf_filter": true,
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"save_strategy": "no",
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"save_steps": 500,
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"save_total_limit": 3,
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"save_safetensors": false,
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"save_on_each_node": false,
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"no_cuda": false,
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"use_mps_device": false,
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"seed": 42,
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"data_seed": null,
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"jit_mode_eval": false,
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"use_ipex": false,
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"bf16": false,
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"fp16": true,
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"fp16_opt_level": "O1",
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"half_precision_backend": "auto",
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"bf16_full_eval": false,
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"fp16_full_eval": false,
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"tf32": null,
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"local_rank": 0,
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"ddp_backend": null,
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"tpu_num_cores": null,
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"tpu_metrics_debug": false,
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"debug": [],
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"dataloader_drop_last": false,
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"eval_steps": 250,
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"dataloader_num_workers": 0,
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"past_index": -1,
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"run_name": "test/ailabmodel/my_llama2_wenan_qlora_50e",
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"disable_tqdm": false,
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"remove_unused_columns": true,
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"label_names": null,
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"load_best_model_at_end": false,
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"metric_for_best_model": null,
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"greater_is_better": null,
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"ignore_data_skip": false,
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"sharded_ddp": [],
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"fsdp": [],
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"fsdp_min_num_params": 0,
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"fsdp_config": {
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"fsdp_min_num_params": 0,
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"xla": false,
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"xla_fsdp_grad_ckpt": false
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},
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"fsdp_transformer_layer_cls_to_wrap": null,
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"deepspeed": "/data1/cgzhang6/ailab_sdk/src/ailab/atp_finetuner/trainer/nlp/ds_zero2_no_offload.json",
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"label_smoothing_factor": 0.0,
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"optim": "adamw_torch",
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"optim_args": null,
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"adafactor": false,
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"group_by_length": false,
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"length_column_name": "length",
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"report_to": [
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"tensorboard"
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],
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"ddp_find_unused_parameters": false,
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"ddp_bucket_cap_mb": null,
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"dataloader_pin_memory": true,
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"skip_memory_metrics": true,
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"use_legacy_prediction_loop": false,
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"push_to_hub": false,
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"resume_from_checkpoint": true,
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"hub_model_id": null,
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"hub_strategy": "every_save",
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"hub_token": "<HUB_TOKEN>",
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"hub_private_repo": false,
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"gradient_checkpointing": false,
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"include_inputs_for_metrics": false,
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"fp16_backend": "auto",
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"push_to_hub_model_id": null,
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"push_to_hub_organization": null,
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"push_to_hub_token": "<PUSH_TO_HUB_TOKEN>",
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"mp_parameters": "",
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"auto_find_batch_size": false,
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"full_determinism": false,
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"torchdynamo": null,
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"ray_scope": "last",
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"ddp_timeout": 30000,
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"torch_compile": false,
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"torch_compile_backend": null,
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"torch_compile_mode": null,
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"xpu_backend": null,
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"sortish_sampler": false,
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"predict_with_generate": false,
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"generation_max_length": 512,
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"generation_num_beams": null,
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"generation_config": null
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}
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