| --- |
| |
| |
| base_model: |
| - HuggingFaceTB/SmolLM-135M-Instruct |
| datasets: [] |
| languages: |
| - en |
| library_name: transformers |
| metrics: [] |
| pipeline_tag: text-generation |
| tags: [] |
|
|
| --- |
| |
| # Model Card for ldp72/Test-SmolLM-Marcel |
|
|
| <!-- Provide a quick summary of what the model is/does. --> |
|
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| This model was finetuned by performing instruct tuning on Telco domain datatsets. |
|
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| ## Model Details |
|
|
| ### Model Description |
|
|
| <!-- Provide a longer summary of what this model is. --> |
|
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|
|
| - **Developed by:** Orange |
| - **Funded by [optional]:** [More Information Needed] |
| - **Shared by [optional]:** [More Information Needed] |
| - **Model type:** [More Information Needed] |
| - **Language(s) (NLP):** English |
| - **License:** [More Information Needed] |
| - **Finetuned from model [optional]:** HuggingFaceTB/SmolLM-135M-Instruct |
| - **Date [optional]:** 2025-07-18 09:48:27 |
|
|
| ### 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. --> |
|
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|
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| This model can be used with the `transformers` library using `pipeline` abstraction as follows: |
|
|
| ```python |
| import torch |
| from transformers import pipeline |
| |
| model_id = "ldp72/Test-SmolLM-Marcel" |
| pipe = pipeline( |
| "text-generation", |
| model=model_id, |
| torch_dtype=torch.bfloat16, |
| device_map="auto", |
| ) |
| messages = [ |
| {"role": "system", "content": "You are chatbot specialized on Telco domain."}, |
| {"role": "user", "content": "Can you give a sample of your specialized knowledge?"}, |
| ] |
| outputs = pipe( |
| messages, |
| max_new_tokens=256, |
| ) |
| print(outputs[0]["generated_text"][-1]) |
| ``` |
|
|
| ### 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 |
|
|
| This model was finetuned with [Orange internal fine tuning tools](https://gitlab.tech.orange/NEPAL/knowledge/orangelm/lm-adaptation/) with the Docker Image tagged `0.1.1` in the [registry](https://gitlab.tech.orange/NEPAL/knowledge/orangelm/lm-adaptation/container_registry/84664) and the following configuration file: |
|
|
| ```yaml |
| data: |
| dataset_name: |
| train: |
| - path: telco-lm/arxiv-abstract-generation-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-dsp.stackexchange.com-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-networkengineering.stackexchange.com-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-security.stackexchange.com-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-technical-3gpp-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-technical-5gamericas-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-technical-huawei-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-technical-itu-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-technical-mef-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-technical-ngmn-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-technical-rfc-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/teleqna-mcqa-cot-telco-instructions |
| revision: legacy |
| - path: telco-lm/tii-huawei-qa-open-qa-telco-instructions |
| revision: legacy |
| validation_abstract_generation: |
| - path: telco-lm/arxiv-abstract-generation-telco-instructions |
| revision: legacy |
| split: validation |
| validation_general: |
| - path: telco-lm/slim-orca-multi-task-general-instructions |
| revision: legacy |
| split: validation |
| validation_synthetic: |
| - path: telco-lm/synthetic-dsp.stackexchange.com-multi-task-telco-instructions |
| revision: legacy |
| split: validation |
| - path: telco-lm/synthetic-security.stackexchange.com-multi-task-telco-instructions |
| revision: legacy |
| split: validation |
| - path: telco-lm/synthetic-networkengineering.stackexchange.com-multi-task-telco-instructions |
| revision: legacy |
| split: validation |
| - path: telco-lm/synthetic-technical-rfc-multi-task-telco-instructions |
| revision: legacy |
| split: validation |
| - path: telco-lm/synthetic-technical-3gpp-multi-task-telco-instructions |
| revision: legacy |
| split: validation |
| - path: telco-lm/synthetic-technical-5gamericas-multi-task-telco-instructions |
| revision: legacy |
| split: validation |
| - path: telco-lm/synthetic-technical-itu-multi-task-telco-instructions |
| revision: legacy |
| split: validation |
| - path: telco-lm/synthetic-technical-mef-multi-task-telco-instructions |
| revision: legacy |
| split: validation |
| - path: telco-lm/synthetic-technical-huawei-multi-task-telco-instructions |
| revision: legacy |
| split: validation |
| - path: telco-lm/synthetic-technical-ngmn-multi-task-telco-instructions |
| revision: legacy |
| split: validation |
| validation_telco_qa: |
| - path: telco-lm/tii-huawei-qa-open-qa-telco-instructions |
| revision: legacy |
| split: validation |
| validation_telco_qcm: |
| - path: telco-lm/teleqna-mcqa-cot-telco-instructions |
| revision: legacy |
| split: validation |
| debug: true |
| implementation_name: instructions |
| description: |
| contributors: |
| - email: loic.fosse@orange.com |
| first_name: Loïc |
| last_name: Fosse |
| - email: lionel.delphinpoulat@orange.com |
| first_name: Lionel |
| last_name: Delphin-Poulat |
| - email: ismael.rousseau@orange.com |
| first_name: Ismaël |
| last_name: Rousseau |
| domain: Telco |
| languages: |
| - en |
| model_name: ldp72/Test-SmolLM-Marcel |
| image: |
| version: 0.1.1 |
| model: |
| attn_implementation: flash_attention_2 |
| chat_template_tokenizer: HuggingFaceTB/SmolLM-135M-Instruct |
| model_name_or_path: HuggingFaceTB/SmolLM-135M-Instruct |
| trust_remote_code: true |
| training: |
| bf16: true |
| dataloader_num_workers: 4 |
| dataloader_persistent_workers: true |
| dataloader_pin_memory: true |
| dataloader_prefetch_factor: 2 |
| deepspeed: /config/zero3.json |
| disable_tqdm: true |
| eval_accumulation_steps: 1 |
| eval_steps: 10 |
| eval_strategy: steps |
| fp16: false |
| gradient_accumulation_steps: 2 |
| gradient_checkpointing: true |
| group_by_length: false |
| learning_rate: 2.0e-05 |
| log_level: debug |
| logging_dir: /outputs/Telco-SmolLM-135-Instruct-it-non-reg/logs |
| logging_steps: 10 |
| lr_scheduler_type: cosine |
| max_grad_norm: 1.0 |
| max_steps: -1 |
| num_train_epochs: 2 |
| optim: paged_adamw_32bit |
| output_dir: /outputs/Telco-SmolLM-135-Instruct-it-non-reg |
| per_device_eval_batch_size: 2 |
| per_device_train_batch_size: 2 |
| push_to_hub: false |
| report_to: tensorboard |
| save_steps: 0 |
| save_strategy: epoch |
| save_total_limit: 1 |
| seed: 42 |
| torch_compile: false |
| training_type: instruct-tuning |
| use_liger_kernel: false |
| warmup_ratio: 0.05 |
| weight_decay: 0.1 |
| ``` |
|
|
| ### 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. --> |
|
|
| This model was trained on the following datasets: |
|
|
| ```yaml |
| - path: telco-lm/arxiv-abstract-generation-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-dsp.stackexchange.com-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-networkengineering.stackexchange.com-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-security.stackexchange.com-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-technical-3gpp-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-technical-5gamericas-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-technical-huawei-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-technical-itu-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-technical-mef-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-technical-ngmn-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/synthetic-technical-rfc-multi-task-telco-instructions |
| revision: legacy |
| - path: telco-lm/teleqna-mcqa-cot-telco-instructions |
| revision: legacy |
| - path: telco-lm/tii-huawei-qa-open-qa-telco-instructions |
| revision: legacy |
| ``` |
|
|
| ### 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 |
|
|
| <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
|
|
| - **Training regime:** This model was trained with the following hyperparameters for `SFTTrainer`,other parameters were set as default: |
|
|
| ```yaml |
| bf16: true |
| dataloader_num_workers: 4 |
| dataloader_persistent_workers: true |
| dataloader_pin_memory: true |
| dataloader_prefetch_factor: 2 |
| deepspeed: /config/zero3.json |
| disable_tqdm: true |
| eval_accumulation_steps: 1 |
| eval_steps: 10 |
| eval_strategy: steps |
| fp16: false |
| gradient_accumulation_steps: 2 |
| gradient_checkpointing: true |
| group_by_length: false |
| learning_rate: 2.0e-05 |
| log_level: debug |
| logging_dir: /outputs/Telco-SmolLM-135-Instruct-it-non-reg/logs |
| logging_steps: 10 |
| lr_scheduler_type: cosine |
| max_grad_norm: 1.0 |
| max_steps: -1 |
| num_train_epochs: 2 |
| optim: paged_adamw_32bit |
| output_dir: /outputs/Telco-SmolLM-135-Instruct-it-non-reg |
| per_device_eval_batch_size: 2 |
| per_device_train_batch_size: 2 |
| push_to_hub: false |
| report_to: tensorboard |
| save_steps: 0 |
| save_strategy: epoch |
| save_total_limit: 1 |
| seed: 42 |
| torch_compile: false |
| use_liger_kernel: false |
| warmup_ratio: 0.05 |
| weight_decay: 0.1 |
| ``` |
|
|
| #### 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 |
|
|
| Thanks to [Loïc Fosse](mailto:loic.fosse@orange.com), [Lionel Delphin-Poulat](mailto:lionel.delphinpoulat@orange.com), [Ismaël Rousseau](mailto:ismael.rousseau@orange.com) for adding this model. |
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|
