Instructions to use heitorrosa/logun-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use heitorrosa/logun-base with PEFT:
Task type is invalid.
- Transformers
How to use heitorrosa/logun-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="heitorrosa/logun-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("heitorrosa/logun-base") model = AutoModelForMaskedLM.from_pretrained("heitorrosa/logun-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- sft/checkpoint-2100/README.md +206 -0
- sft/checkpoint-2100/adapter_config.json +46 -0
- sft/checkpoint-2100/adapter_model.safetensors +3 -0
- sft/checkpoint-2100/optimizer.pt +3 -0
- sft/checkpoint-2100/rng_state_0.pth +3 -0
- sft/checkpoint-2100/scaler.pt +3 -0
- sft/checkpoint-2100/scheduler.pt +3 -0
- sft/checkpoint-2100/sft/adapter_config.json +50 -0
- sft/checkpoint-2100/sft/adapter_model.safetensors +3 -0
- sft/checkpoint-2100/tokenizer.json +0 -0
- sft/checkpoint-2100/tokenizer_config.json +19 -0
- sft/checkpoint-2100/trainer_state.json +1154 -0
- sft/checkpoint-2100/training_args.bin +3 -0
sft/checkpoint-2100/README.md
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| 1 |
+
---
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| 2 |
+
base_model: Itau-Unibanco/NorBERTo-base
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| 3 |
+
library_name: peft
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| 4 |
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tags:
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| 5 |
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- base_model:adapter:Itau-Unibanco/NorBERTo-base
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- lora
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| 7 |
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- transformers
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| 8 |
+
---
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| 9 |
+
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| 10 |
+
# Model Card for Model ID
|
| 11 |
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| 12 |
+
<!-- Provide a quick summary of what the model is/does. -->
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| 13 |
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| 14 |
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| 15 |
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| 16 |
+
## Model Details
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| 17 |
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| 18 |
+
### Model Description
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| 19 |
+
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| 20 |
+
<!-- Provide a longer summary of what this model is. -->
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| 21 |
+
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| 22 |
+
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| 23 |
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| 24 |
+
- **Developed by:** [More Information Needed]
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| 25 |
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- **Funded by [optional]:** [More Information Needed]
|
| 26 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 27 |
+
- **Model type:** [More Information Needed]
|
| 28 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 29 |
+
- **License:** [More Information Needed]
|
| 30 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 31 |
+
|
| 32 |
+
### Model Sources [optional]
|
| 33 |
+
|
| 34 |
+
<!-- Provide the basic links for the model. -->
|
| 35 |
+
|
| 36 |
+
- **Repository:** [More Information Needed]
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| 37 |
+
- **Paper [optional]:** [More Information Needed]
|
| 38 |
+
- **Demo [optional]:** [More Information Needed]
|
| 39 |
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|
| 40 |
+
## Uses
|
| 41 |
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|
| 42 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 43 |
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|
| 44 |
+
### Direct Use
|
| 45 |
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|
| 46 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 47 |
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|
| 48 |
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[More Information Needed]
|
| 49 |
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|
| 50 |
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### Downstream Use [optional]
|
| 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]
|
| 55 |
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|
| 56 |
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### Out-of-Scope Use
|
| 57 |
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|
| 58 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 59 |
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|
| 60 |
+
[More Information Needed]
|
| 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. -->
|
| 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 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 71 |
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|
| 72 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 73 |
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|
| 74 |
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## How to Get Started with the Model
|
| 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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| 79 |
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| 80 |
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## Training Details
|
| 81 |
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| 82 |
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### Training Data
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| 83 |
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| 84 |
+
<!-- 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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| 86 |
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[More Information Needed]
|
| 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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| 92 |
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#### Preprocessing [optional]
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| 93 |
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| 94 |
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[More Information Needed]
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| 95 |
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| 96 |
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| 97 |
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#### Training Hyperparameters
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| 98 |
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| 99 |
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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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|
| 101 |
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#### Speeds, Sizes, Times [optional]
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| 102 |
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| 103 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 105 |
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[More Information Needed]
|
| 106 |
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|
| 107 |
+
## Evaluation
|
| 108 |
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| 109 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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| 111 |
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### Testing Data, Factors & Metrics
|
| 112 |
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| 113 |
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#### Testing Data
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| 114 |
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|
| 115 |
+
<!-- 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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| 119 |
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#### Factors
|
| 120 |
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| 121 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 122 |
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|
| 123 |
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[More Information Needed]
|
| 124 |
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|
| 125 |
+
#### Metrics
|
| 126 |
+
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| 127 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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| 128 |
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| 129 |
+
[More Information Needed]
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| 130 |
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| 131 |
+
### Results
|
| 132 |
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| 133 |
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[More Information Needed]
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| 134 |
+
|
| 135 |
+
#### Summary
|
| 136 |
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|
| 137 |
+
|
| 138 |
+
|
| 139 |
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## Model Examination [optional]
|
| 140 |
+
|
| 141 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 142 |
+
|
| 143 |
+
[More Information Needed]
|
| 144 |
+
|
| 145 |
+
## Environmental Impact
|
| 146 |
+
|
| 147 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 148 |
+
|
| 149 |
+
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).
|
| 150 |
+
|
| 151 |
+
- **Hardware Type:** [More Information Needed]
|
| 152 |
+
- **Hours used:** [More Information Needed]
|
| 153 |
+
- **Cloud Provider:** [More Information Needed]
|
| 154 |
+
- **Compute Region:** [More Information Needed]
|
| 155 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 156 |
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|
| 157 |
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## Technical Specifications [optional]
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| 158 |
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| 159 |
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### Model Architecture and Objective
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| 160 |
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| 161 |
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[More Information Needed]
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| 162 |
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| 163 |
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### Compute Infrastructure
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| 164 |
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| 165 |
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[More Information Needed]
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| 166 |
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| 167 |
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#### Hardware
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| 168 |
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| 169 |
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[More Information Needed]
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| 170 |
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| 171 |
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#### Software
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| 172 |
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| 173 |
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[More Information Needed]
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| 174 |
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|
| 175 |
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## Citation [optional]
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| 176 |
+
|
| 177 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 178 |
+
|
| 179 |
+
**BibTeX:**
|
| 180 |
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|
| 181 |
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[More Information Needed]
|
| 182 |
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|
| 183 |
+
**APA:**
|
| 184 |
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|
| 185 |
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[More Information Needed]
|
| 186 |
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|
| 187 |
+
## Glossary [optional]
|
| 188 |
+
|
| 189 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 190 |
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|
| 191 |
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[More Information Needed]
|
| 192 |
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| 193 |
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## More Information [optional]
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| 194 |
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| 195 |
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[More Information Needed]
|
| 196 |
+
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| 197 |
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## Model Card Authors [optional]
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| 198 |
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| 199 |
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[More Information Needed]
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| 200 |
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| 201 |
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## Model Card Contact
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| 202 |
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|
| 203 |
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[More Information Needed]
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| 204 |
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### Framework versions
|
| 205 |
+
|
| 206 |
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- PEFT 0.20.0
|
sft/checkpoint-2100/adapter_config.json
ADDED
|
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{
|
| 2 |
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"alora_invocation_tokens": null,
|
| 3 |
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"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
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"auto_mapping": null,
|
| 6 |
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"base_model_name_or_path": "Itau-Unibanco/NorBERTo-base",
|
| 7 |
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"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
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"layers_pattern": null,
|
| 17 |
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"layers_to_transform": null,
|
| 18 |
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"loftq_config": {},
|
| 19 |
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"lora_alpha": 32,
|
| 20 |
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"lora_bias": false,
|
| 21 |
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"lora_dropout": 0.05,
|
| 22 |
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"lora_ga_config": null,
|
| 23 |
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"megatron_config": null,
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| 24 |
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"megatron_core": "megatron.core",
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| 25 |
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"modules_to_save": null,
|
| 26 |
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"monteclora_config": null,
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| 27 |
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"peft_type": "LORA",
|
| 28 |
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"peft_version": "0.20.0",
|
| 29 |
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"qalora_group_size": 16,
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| 30 |
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"r": 16,
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| 31 |
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"rank_pattern": {},
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| 32 |
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"revision": null,
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| 33 |
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"target_modules": [
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| 34 |
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"Wi",
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| 35 |
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"Wqkv",
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| 36 |
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"Wo"
|
| 37 |
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],
|
| 38 |
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"target_parameters": null,
|
| 39 |
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"task_type": "FEATURE_EXTRACTION",
|
| 40 |
+
"trainable_token_indices": null,
|
| 41 |
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"use_bdlora": null,
|
| 42 |
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"use_dora": false,
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| 43 |
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"use_qalora": false,
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| 44 |
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"use_rslora": false,
|
| 45 |
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"velora_config": null
|
| 46 |
+
}
|
sft/checkpoint-2100/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa6452c598bf09450dc4e6e4e42cfd12950bcb51e453f9fc3edc3a6ce7543675
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size 13538528
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sft/checkpoint-2100/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:594eb334c2061b0cca8d0fe62c30972fdd5a8c48ace71e351a86e1d2b7efedfe
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size 27204427
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sft/checkpoint-2100/rng_state_0.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0a4ac69d11987afc3d20a7e53a27edd4d897de8c8d284de9cf197ec4fe10472
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size 14917
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sft/checkpoint-2100/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:5a7d31b3394f0ab5e7389598c4f44645c7a6d186d89517101aba0ed13db69962
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size 1383
|
sft/checkpoint-2100/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ad78a57deb251ac755d617e09e0d0c13238c1b4829580ddd1e0f44f1c04e2833
|
| 3 |
+
size 1465
|
sft/checkpoint-2100/sft/adapter_config.json
ADDED
|
@@ -0,0 +1,50 @@
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| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Itau-Unibanco/NorBERTo-base",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"lora_ga_config": null,
|
| 23 |
+
"megatron_config": null,
|
| 24 |
+
"megatron_core": "megatron.core",
|
| 25 |
+
"modules_to_save": [
|
| 26 |
+
"classifier",
|
| 27 |
+
"classifier",
|
| 28 |
+
"score"
|
| 29 |
+
],
|
| 30 |
+
"monteclora_config": null,
|
| 31 |
+
"peft_type": "LORA",
|
| 32 |
+
"peft_version": "0.20.0",
|
| 33 |
+
"qalora_group_size": 16,
|
| 34 |
+
"r": 16,
|
| 35 |
+
"rank_pattern": {},
|
| 36 |
+
"revision": null,
|
| 37 |
+
"target_modules": [
|
| 38 |
+
"Wi",
|
| 39 |
+
"Wqkv",
|
| 40 |
+
"Wo"
|
| 41 |
+
],
|
| 42 |
+
"target_parameters": null,
|
| 43 |
+
"task_type": "SEQ_CLS",
|
| 44 |
+
"trainable_token_indices": null,
|
| 45 |
+
"use_bdlora": null,
|
| 46 |
+
"use_dora": false,
|
| 47 |
+
"use_qalora": false,
|
| 48 |
+
"use_rslora": false,
|
| 49 |
+
"velora_config": null
|
| 50 |
+
}
|
sft/checkpoint-2100/sft/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4ee703e9eaeaa5465460f7dc8f0467c805bc604374df97f7161b19ce540b156a
|
| 3 |
+
size 13547940
|
sft/checkpoint-2100/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
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|
|
sft/checkpoint-2100/tokenizer_config.json
ADDED
|
@@ -0,0 +1,19 @@
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|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"bos_token": "[CLS]",
|
| 4 |
+
"clean_up_tokenization_spaces": false,
|
| 5 |
+
"eos_token": "[SEP]",
|
| 6 |
+
"is_local": false,
|
| 7 |
+
"local_files_only": false,
|
| 8 |
+
"mask_token": "[MASK]",
|
| 9 |
+
"model_input_names": [
|
| 10 |
+
"input_ids",
|
| 11 |
+
"attention_mask"
|
| 12 |
+
],
|
| 13 |
+
"model_max_length": 8192,
|
| 14 |
+
"pad_token": "[PAD]",
|
| 15 |
+
"padding_side": "right",
|
| 16 |
+
"tokenizer_class": "TokenizersBackend",
|
| 17 |
+
"truncation_side": "right",
|
| 18 |
+
"unk_token": "[UNK]"
|
| 19 |
+
}
|
sft/checkpoint-2100/trainer_state.json
ADDED
|
@@ -0,0 +1,1154 @@
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