add lora_v21_seed_43 (V2.2 H100 canonical run)
Browse files- lora_v21_seed_43/README.md +206 -0
- lora_v21_seed_43/adapter_config.json +48 -0
- lora_v21_seed_43/adapter_model.safetensors +3 -0
- lora_v21_seed_43/added_tokens.json +3 -0
- lora_v21_seed_43/class_weights.json +1 -0
- lora_v21_seed_43/special_tokens_map.json +15 -0
- lora_v21_seed_43/spm.model +3 -0
- lora_v21_seed_43/tokenizer.json +0 -0
- lora_v21_seed_43/tokenizer_config.json +59 -0
- lora_v21_seed_43/train_config.json +25 -0
- lora_v21_seed_43/train_history.json +428 -0
lora_v21_seed_43/README.md
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| 1 |
+
---
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base_model: microsoft/deberta-v3-base
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library_name: peft
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tags:
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- base_model:adapter:microsoft/deberta-v3-base
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- lora
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- transformers
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---
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| 9 |
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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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| 26 |
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- **Shared by [optional]:** [More Information Needed]
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| 27 |
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- **Model type:** [More Information Needed]
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| 28 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 29 |
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- **License:** [More Information Needed]
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| 30 |
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- **Finetuned from model [optional]:** [More Information Needed]
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| 31 |
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| 32 |
+
### Model Sources [optional]
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| 33 |
+
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| 34 |
+
<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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+
- **Paper [optional]:** [More Information Needed]
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- **Demo [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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| 45 |
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| 46 |
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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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| 47 |
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[More Information Needed]
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| 49 |
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### Downstream Use [optional]
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| 51 |
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| 52 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 53 |
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| 54 |
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[More Information Needed]
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| 55 |
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|
| 56 |
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### Out-of-Scope Use
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| 57 |
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| 58 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 59 |
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| 60 |
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[More Information Needed]
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| 61 |
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| 62 |
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## Bias, Risks, and Limitations
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| 63 |
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|
| 64 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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| 65 |
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| 66 |
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[More Information Needed]
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| 67 |
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| 68 |
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### Recommendations
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| 69 |
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| 70 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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| 71 |
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| 72 |
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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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| 73 |
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## How to Get Started with the Model
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| 75 |
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| 76 |
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Use the code below to get started with the model.
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| 77 |
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| 78 |
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[More Information Needed]
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## Training Details
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| 81 |
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| 82 |
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### Training Data
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| 83 |
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| 84 |
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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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| 85 |
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[More Information Needed]
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| 87 |
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| 88 |
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### Training Procedure
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| 89 |
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| 90 |
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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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| 91 |
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#### Preprocessing [optional]
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| 93 |
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[More Information Needed]
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| 95 |
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| 96 |
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#### Training Hyperparameters
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| 98 |
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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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| 100 |
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| 101 |
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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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| 108 |
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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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| 112 |
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#### Testing Data
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| 114 |
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| 115 |
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<!-- This should link to a Dataset Card if possible. -->
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| 116 |
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| 117 |
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[More Information Needed]
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| 118 |
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#### Factors
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| 120 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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| 122 |
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| 123 |
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[More Information Needed]
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| 124 |
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| 125 |
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#### Metrics
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| 126 |
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| 127 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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| 128 |
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| 129 |
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[More Information Needed]
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### Results
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| 132 |
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| 133 |
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[More Information Needed]
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| 134 |
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#### Summary
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| 136 |
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| 137 |
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| 138 |
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## Model Examination [optional]
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| 140 |
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| 141 |
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<!-- Relevant interpretability work for the model goes here -->
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| 142 |
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[More Information Needed]
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| 144 |
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## Environmental Impact
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| 146 |
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| 147 |
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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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| 148 |
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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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| 150 |
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| 151 |
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- **Hardware Type:** [More Information Needed]
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| 152 |
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- **Hours used:** [More Information Needed]
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| 153 |
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- **Cloud Provider:** [More Information Needed]
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| 154 |
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- **Compute Region:** [More Information Needed]
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| 155 |
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- **Carbon Emitted:** [More Information Needed]
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| 156 |
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## Technical Specifications [optional]
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| 158 |
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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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| 164 |
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[More Information Needed]
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#### Hardware
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| 168 |
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[More Information Needed]
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#### Software
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| 172 |
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[More Information Needed]
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| 174 |
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## Citation [optional]
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| 176 |
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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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| 178 |
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**BibTeX:**
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| 180 |
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[More Information Needed]
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| 182 |
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**APA:**
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| 184 |
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[More Information Needed]
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| 186 |
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## Glossary [optional]
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| 188 |
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| 189 |
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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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| 190 |
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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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| 205 |
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- PEFT 0.19.1
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lora_v21_seed_43/adapter_config.json
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{
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| 2 |
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"alora_invocation_tokens": null,
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| 3 |
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"alpha_pattern": {},
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| 4 |
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"arrow_config": null,
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| 5 |
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"auto_mapping": null,
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| 6 |
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"base_model_name_or_path": "microsoft/deberta-v3-base",
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| 7 |
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"bias": "none",
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| 8 |
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"corda_config": null,
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| 9 |
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"ensure_weight_tying": false,
|
| 10 |
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"eva_config": null,
|
| 11 |
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"exclude_modules": null,
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| 12 |
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"fan_in_fan_out": false,
|
| 13 |
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"inference_mode": true,
|
| 14 |
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"init_lora_weights": true,
|
| 15 |
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"layer_replication": null,
|
| 16 |
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"layers_pattern": null,
|
| 17 |
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"layers_to_transform": null,
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| 18 |
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"loftq_config": {},
|
| 19 |
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"lora_alpha": 16,
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| 20 |
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"lora_bias": false,
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| 21 |
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"lora_dropout": 0.1,
|
| 22 |
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"lora_ga_config": null,
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| 23 |
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"megatron_config": null,
|
| 24 |
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"megatron_core": "megatron.core",
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| 25 |
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"modules_to_save": [
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| 26 |
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"classifier",
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| 27 |
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"pooler",
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| 28 |
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"classifier",
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| 29 |
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"score"
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| 30 |
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],
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| 31 |
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"peft_type": "LORA",
|
| 32 |
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"peft_version": "0.19.1",
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| 33 |
+
"qalora_group_size": 16,
|
| 34 |
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"r": 8,
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| 35 |
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"rank_pattern": {},
|
| 36 |
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"revision": null,
|
| 37 |
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"target_modules": [
|
| 38 |
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"query_proj",
|
| 39 |
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"value_proj"
|
| 40 |
+
],
|
| 41 |
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"target_parameters": null,
|
| 42 |
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"task_type": "SEQ_CLS",
|
| 43 |
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"trainable_token_indices": null,
|
| 44 |
+
"use_bdlora": null,
|
| 45 |
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"use_dora": false,
|
| 46 |
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"use_qalora": false,
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| 47 |
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"use_rslora": false
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| 48 |
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}
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lora_v21_seed_43/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7a317b0f79f43b6db1e112373e9437a75e3c0dade4a323cd34e7f1dd1d491c1f
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size 3555616
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lora_v21_seed_43/added_tokens.json
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{
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"[MASK]": 128000
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}
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lora_v21_seed_43/class_weights.json
ADDED
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{"class_0": 0.6787749528884888, "class_1": 1.8984063863754272}
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lora_v21_seed_43/special_tokens_map.json
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{
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"bos_token": "[CLS]",
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| 3 |
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"cls_token": "[CLS]",
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| 4 |
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"eos_token": "[SEP]",
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| 5 |
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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| 7 |
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"sep_token": "[SEP]",
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| 8 |
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"unk_token": {
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| 9 |
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"content": "[UNK]",
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| 10 |
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"lstrip": false,
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| 11 |
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"normalized": true,
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| 12 |
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"rstrip": false,
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| 13 |
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"single_word": false
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| 14 |
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}
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| 15 |
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}
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lora_v21_seed_43/spm.model
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
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| 3 |
+
size 2464616
|
lora_v21_seed_43/tokenizer.json
ADDED
|
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|
lora_v21_seed_43/tokenizer_config.json
ADDED
|
@@ -0,0 +1,59 @@
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| 1 |
+
{
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| 2 |
+
"added_tokens_decoder": {
|
| 3 |
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"0": {
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| 4 |
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"content": "[PAD]",
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| 5 |
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"lstrip": false,
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| 6 |
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"normalized": false,
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| 7 |
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"rstrip": false,
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| 8 |
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"single_word": false,
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| 9 |
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"special": true
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| 10 |
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},
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| 11 |
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"1": {
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| 12 |
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"content": "[CLS]",
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| 13 |
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| 14 |
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"normalized": false,
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| 15 |
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"rstrip": false,
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| 16 |
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"single_word": false,
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| 17 |
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"special": true
|
| 18 |
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},
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| 19 |
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"2": {
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| 20 |
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"content": "[SEP]",
|
| 21 |
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"lstrip": false,
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| 22 |
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"normalized": false,
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| 23 |
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"rstrip": false,
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| 24 |
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"single_word": false,
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| 25 |
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"special": true
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| 26 |
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},
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| 27 |
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"3": {
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| 28 |
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"content": "[UNK]",
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| 29 |
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"lstrip": false,
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| 30 |
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"normalized": true,
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| 31 |
+
"rstrip": false,
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| 32 |
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"single_word": false,
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| 33 |
+
"special": true
|
| 34 |
+
},
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| 35 |
+
"128000": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"bos_token": "[CLS]",
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| 45 |
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"clean_up_tokenization_spaces": false,
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| 46 |
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"cls_token": "[CLS]",
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| 47 |
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"do_lower_case": false,
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| 48 |
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"eos_token": "[SEP]",
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| 49 |
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"extra_special_tokens": {},
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| 50 |
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"mask_token": "[MASK]",
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| 51 |
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"model_max_length": 1000000000000000019884624838656,
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| 52 |
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"pad_token": "[PAD]",
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| 53 |
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"sep_token": "[SEP]",
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| 54 |
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"sp_model_kwargs": {},
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| 55 |
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"split_by_punct": false,
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| 56 |
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"tokenizer_class": "DebertaV2Tokenizer",
|
| 57 |
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"unk_token": "[UNK]",
|
| 58 |
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"vocab_type": "spm"
|
| 59 |
+
}
|
lora_v21_seed_43/train_config.json
ADDED
|
@@ -0,0 +1,25 @@
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|
| 1 |
+
{
|
| 2 |
+
"base_model": "microsoft/deberta-v3-base",
|
| 3 |
+
"max_length": 512,
|
| 4 |
+
"lora_r": 8,
|
| 5 |
+
"lora_alpha": 16,
|
| 6 |
+
"lora_dropout": 0.1,
|
| 7 |
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"lora_target_modules": [
|
| 8 |
+
"query_proj",
|
| 9 |
+
"value_proj"
|
| 10 |
+
],
|
| 11 |
+
"lora_modules_to_save": [
|
| 12 |
+
"classifier",
|
| 13 |
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"pooler"
|
| 14 |
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],
|
| 15 |
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"learning_rate": 0.0002,
|
| 16 |
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"weight_decay": 0.01,
|
| 17 |
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"num_epochs": 8,
|
| 18 |
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"batch_size": 8,
|
| 19 |
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"grad_accumulation": 2,
|
| 20 |
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"warmup_ratio": 0.06,
|
| 21 |
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"fp16": true,
|
| 22 |
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"gradient_checkpointing": true,
|
| 23 |
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"class_weighted_loss": true,
|
| 24 |
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"early_stopping_patience": 2
|
| 25 |
+
}
|
lora_v21_seed_43/train_history.json
ADDED
|
@@ -0,0 +1,428 @@
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