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- adalora_mlp/0.6.2/README.md +206 -0
- adalora_mlp/0.6.2/adapter_config.json +34 -0
- adalora_mlp/0.6.2/adapter_model.safetensors +3 -0
- adalora_mlp/0.6.2/output.pt +3 -0
- adalora_opt-350m/0.6.2/README.md +207 -0
- adalora_opt-350m/0.6.2/adapter_config.json +39 -0
- adalora_opt-350m/0.6.2/adapter_model.safetensors +3 -0
- adalora_opt-350m/0.6.2/output.pt +3 -0
- ia3_conv2d/0.6.2/README.md +206 -0
- ia3_conv2d/0.6.2/adapter_config.json +20 -0
- ia3_conv2d/0.6.2/adapter_model.safetensors +3 -0
- ia3_conv2d/0.6.2/output.pt +3 -0
- ia3_mlp/0.6.2/README.md +206 -0
- ia3_mlp/0.6.2/adapter_config.json +20 -0
- ia3_mlp/0.6.2/adapter_model.safetensors +3 -0
- ia3_mlp/0.6.2/output.pt +3 -0
- ia3_no_ff_mlp/0.6.2/README.md +206 -0
- ia3_no_ff_mlp/0.6.2/adapter_config.json +18 -0
- ia3_no_ff_mlp/0.6.2/adapter_model.safetensors +3 -0
- ia3_no_ff_mlp/0.6.2/output.pt +3 -0
- ia3_opt-350m/0.6.2/README.md +207 -0
- ia3_opt-350m/0.6.2/adapter_config.json +22 -0
- ia3_opt-350m/0.6.2/adapter_model.safetensors +3 -0
- ia3_opt-350m/0.6.2/output.pt +3 -0
- lora_conv2d/0.6.2/README.md +206 -0
- lora_conv2d/0.6.2/adapter_config.json +25 -0
- lora_conv2d/0.6.2/adapter_model.safetensors +3 -0
- lora_conv2d/0.6.2/output.pt +3 -0
- lora_emb_conv1d/0.6.2/README.md +206 -0
- lora_emb_conv1d/0.6.2/adapter_config.json +26 -0
- lora_emb_conv1d/0.6.2/adapter_model.safetensors +3 -0
- lora_emb_conv1d/0.6.2/output.pt +3 -0
- lora_mlp/0.6.2/README.md +206 -0
- lora_mlp/0.6.2/adapter_config.json +25 -0
- lora_mlp/0.6.2/adapter_model.safetensors +3 -0
- lora_mlp/0.6.2/output.pt +3 -0
- lora_mlp_modules_to_save/0.6.2/README.md +206 -0
- lora_mlp_modules_to_save/0.6.2/adapter_config.json +27 -0
- lora_mlp_modules_to_save/0.6.2/adapter_model.safetensors +3 -0
- lora_mlp_modules_to_save/0.6.2/output.pt +3 -0
- lora_opt-350m/0.6.2/README.md +207 -0
- lora_opt-350m/0.6.2/adapter_config.json +26 -0
- lora_opt-350m/0.6.2/adapter_model.safetensors +3 -0
- lora_opt-350m/0.6.2/output.pt +3 -0
- lora_opt-350m_bnb_4bit/0.6.2/README.md +219 -0
- lora_opt-350m_bnb_4bit/0.6.2/adapter_config.json +26 -0
- lora_opt-350m_bnb_4bit/0.6.2/adapter_model.safetensors +3 -0
- lora_opt-350m_bnb_4bit/0.6.2/output.pt +3 -0
- lora_opt-350m_bnb_8bit/0.6.2/README.md +219 -0
- lora_opt-350m_bnb_8bit/0.6.2/adapter_config.json +26 -0
adalora_mlp/0.6.2/README.md
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---
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library_name: peft
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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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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [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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- **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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<!-- 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 Data 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 Data 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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## Training procedure
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### Framework versions
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- PEFT 0.6.2
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adalora_mlp/0.6.2/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "MLP",
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"parent_library": "test_regression"
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},
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"base_model_name_or_path": null,
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"beta1": 0.85,
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"beta2": 0.85,
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"bias": "none",
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"deltaT": 1,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": false,
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"init_r": 12,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 8,
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"lora_dropout": 0.0,
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"modules_to_save": null,
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"orth_reg_weight": 0.5,
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"peft_type": "ADALORA",
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"r": 8,
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"rank_pattern": null,
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"revision": null,
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"target_modules": [
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"lin0"
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],
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"target_r": 8,
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"task_type": null,
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"tfinal": 0,
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"tinit": 0,
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"total_step": null
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}
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adalora_mlp/0.6.2/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a9479f2503c55f4c63e0a5682c3855910de00377f39aee2ea9687412f45bb8d4
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size 1792
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adalora_mlp/0.6.2/output.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c90d9caa327c2bc1237d69be84caaa5ea3b9110f3b0ef3036e3349bf528c97ee
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size 1239
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adalora_opt-350m/0.6.2/README.md
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|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: facebook/opt-350m
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Shared by [optional]:** [More Information Needed]
|
22 |
+
- **Model type:** [More Information Needed]
|
23 |
+
- **Language(s) (NLP):** [More Information Needed]
|
24 |
+
- **License:** [More Information Needed]
|
25 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
26 |
+
|
27 |
+
### Model Sources [optional]
|
28 |
+
|
29 |
+
<!-- Provide the basic links for the model. -->
|
30 |
+
|
31 |
+
- **Repository:** [More Information Needed]
|
32 |
+
- **Paper [optional]:** [More Information Needed]
|
33 |
+
- **Demo [optional]:** [More Information Needed]
|
34 |
+
|
35 |
+
## Uses
|
36 |
+
|
37 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
38 |
+
|
39 |
+
### Direct Use
|
40 |
+
|
41 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
42 |
+
|
43 |
+
[More Information Needed]
|
44 |
+
|
45 |
+
### Downstream Use [optional]
|
46 |
+
|
47 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
48 |
+
|
49 |
+
[More Information Needed]
|
50 |
+
|
51 |
+
### Out-of-Scope Use
|
52 |
+
|
53 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
54 |
+
|
55 |
+
[More Information Needed]
|
56 |
+
|
57 |
+
## Bias, Risks, and Limitations
|
58 |
+
|
59 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
60 |
+
|
61 |
+
[More Information Needed]
|
62 |
+
|
63 |
+
### Recommendations
|
64 |
+
|
65 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
66 |
+
|
67 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
68 |
+
|
69 |
+
## How to Get Started with the Model
|
70 |
+
|
71 |
+
Use the code below to get started with the model.
|
72 |
+
|
73 |
+
[More Information Needed]
|
74 |
+
|
75 |
+
## Training Details
|
76 |
+
|
77 |
+
### Training Data
|
78 |
+
|
79 |
+
<!-- This should link to a Data 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. -->
|
80 |
+
|
81 |
+
[More Information Needed]
|
82 |
+
|
83 |
+
### Training Procedure
|
84 |
+
|
85 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
86 |
+
|
87 |
+
#### Preprocessing [optional]
|
88 |
+
|
89 |
+
[More Information Needed]
|
90 |
+
|
91 |
+
|
92 |
+
#### Training Hyperparameters
|
93 |
+
|
94 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
95 |
+
|
96 |
+
#### Speeds, Sizes, Times [optional]
|
97 |
+
|
98 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
99 |
+
|
100 |
+
[More Information Needed]
|
101 |
+
|
102 |
+
## Evaluation
|
103 |
+
|
104 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
105 |
+
|
106 |
+
### Testing Data, Factors & Metrics
|
107 |
+
|
108 |
+
#### Testing Data
|
109 |
+
|
110 |
+
<!-- This should link to a Data Card if possible. -->
|
111 |
+
|
112 |
+
[More Information Needed]
|
113 |
+
|
114 |
+
#### Factors
|
115 |
+
|
116 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
117 |
+
|
118 |
+
[More Information Needed]
|
119 |
+
|
120 |
+
#### Metrics
|
121 |
+
|
122 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
123 |
+
|
124 |
+
[More Information Needed]
|
125 |
+
|
126 |
+
### Results
|
127 |
+
|
128 |
+
[More Information Needed]
|
129 |
+
|
130 |
+
#### Summary
|
131 |
+
|
132 |
+
|
133 |
+
|
134 |
+
## Model Examination [optional]
|
135 |
+
|
136 |
+
<!-- Relevant interpretability work for the model goes here -->
|
137 |
+
|
138 |
+
[More Information Needed]
|
139 |
+
|
140 |
+
## Environmental Impact
|
141 |
+
|
142 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
143 |
+
|
144 |
+
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).
|
145 |
+
|
146 |
+
- **Hardware Type:** [More Information Needed]
|
147 |
+
- **Hours used:** [More Information Needed]
|
148 |
+
- **Cloud Provider:** [More Information Needed]
|
149 |
+
- **Compute Region:** [More Information Needed]
|
150 |
+
- **Carbon Emitted:** [More Information Needed]
|
151 |
+
|
152 |
+
## Technical Specifications [optional]
|
153 |
+
|
154 |
+
### Model Architecture and Objective
|
155 |
+
|
156 |
+
[More Information Needed]
|
157 |
+
|
158 |
+
### Compute Infrastructure
|
159 |
+
|
160 |
+
[More Information Needed]
|
161 |
+
|
162 |
+
#### Hardware
|
163 |
+
|
164 |
+
[More Information Needed]
|
165 |
+
|
166 |
+
#### Software
|
167 |
+
|
168 |
+
[More Information Needed]
|
169 |
+
|
170 |
+
## Citation [optional]
|
171 |
+
|
172 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
173 |
+
|
174 |
+
**BibTeX:**
|
175 |
+
|
176 |
+
[More Information Needed]
|
177 |
+
|
178 |
+
**APA:**
|
179 |
+
|
180 |
+
[More Information Needed]
|
181 |
+
|
182 |
+
## Glossary [optional]
|
183 |
+
|
184 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
185 |
+
|
186 |
+
[More Information Needed]
|
187 |
+
|
188 |
+
## More Information [optional]
|
189 |
+
|
190 |
+
[More Information Needed]
|
191 |
+
|
192 |
+
## Model Card Authors [optional]
|
193 |
+
|
194 |
+
[More Information Needed]
|
195 |
+
|
196 |
+
## Model Card Contact
|
197 |
+
|
198 |
+
[More Information Needed]
|
199 |
+
|
200 |
+
|
201 |
+
## Training procedure
|
202 |
+
|
203 |
+
|
204 |
+
### Framework versions
|
205 |
+
|
206 |
+
|
207 |
+
- PEFT 0.6.2
|
adalora_opt-350m/0.6.2/adapter_config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": {
|
4 |
+
"base_model_class": "OPTForCausalLM",
|
5 |
+
"parent_library": "transformers.models.opt.modeling_opt"
|
6 |
+
},
|
7 |
+
"base_model_name_or_path": "facebook/opt-350m",
|
8 |
+
"beta1": 0.85,
|
9 |
+
"beta2": 0.85,
|
10 |
+
"bias": "none",
|
11 |
+
"deltaT": 1,
|
12 |
+
"fan_in_fan_out": false,
|
13 |
+
"inference_mode": true,
|
14 |
+
"init_lora_weights": false,
|
15 |
+
"init_r": 12,
|
16 |
+
"layers_pattern": null,
|
17 |
+
"layers_to_transform": null,
|
18 |
+
"lora_alpha": 8,
|
19 |
+
"lora_dropout": 0.0,
|
20 |
+
"modules_to_save": null,
|
21 |
+
"orth_reg_weight": 0.5,
|
22 |
+
"peft_type": "ADALORA",
|
23 |
+
"r": 8,
|
24 |
+
"rank_pattern": null,
|
25 |
+
"revision": null,
|
26 |
+
"target_modules": [
|
27 |
+
"q_proj",
|
28 |
+
"k_proj",
|
29 |
+
"v_proj",
|
30 |
+
"out_proj",
|
31 |
+
"fc1",
|
32 |
+
"fc2"
|
33 |
+
],
|
34 |
+
"target_r": 8,
|
35 |
+
"task_type": null,
|
36 |
+
"tfinal": 0,
|
37 |
+
"tinit": 0,
|
38 |
+
"total_step": null
|
39 |
+
}
|
adalora_opt-350m/0.6.2/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b95942c9e2029d128034ec7ab28b882a763ccd18aa6dc0eb5c47dc66a89479ba
|
3 |
+
size 21296584
|
adalora_opt-350m/0.6.2/output.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:45cd059248e254577130528f6b9b6ab434bda781523f9e33e6ba47c67b429ff8
|
3 |
+
size 1207639
|
ia3_conv2d/0.6.2/README.md
ADDED
@@ -0,0 +1,206 @@
|
|
|
|
|
|
|
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|
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|
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|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
|
5 |
+
# Model Card for Model ID
|
6 |
+
|
7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
8 |
+
|
9 |
+
|
10 |
+
|
11 |
+
## Model Details
|
12 |
+
|
13 |
+
### Model Description
|
14 |
+
|
15 |
+
<!-- Provide a longer summary of what this model is. -->
|
16 |
+
|
17 |
+
|
18 |
+
|
19 |
+
- **Developed by:** [More Information Needed]
|
20 |
+
- **Shared by [optional]:** [More Information Needed]
|
21 |
+
- **Model type:** [More Information Needed]
|
22 |
+
- **Language(s) (NLP):** [More Information Needed]
|
23 |
+
- **License:** [More Information Needed]
|
24 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
25 |
+
|
26 |
+
### Model Sources [optional]
|
27 |
+
|
28 |
+
<!-- Provide the basic links for the model. -->
|
29 |
+
|
30 |
+
- **Repository:** [More Information Needed]
|
31 |
+
- **Paper [optional]:** [More Information Needed]
|
32 |
+
- **Demo [optional]:** [More Information Needed]
|
33 |
+
|
34 |
+
## Uses
|
35 |
+
|
36 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
37 |
+
|
38 |
+
### Direct Use
|
39 |
+
|
40 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
41 |
+
|
42 |
+
[More Information Needed]
|
43 |
+
|
44 |
+
### Downstream Use [optional]
|
45 |
+
|
46 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
47 |
+
|
48 |
+
[More Information Needed]
|
49 |
+
|
50 |
+
### Out-of-Scope Use
|
51 |
+
|
52 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
53 |
+
|
54 |
+
[More Information Needed]
|
55 |
+
|
56 |
+
## Bias, Risks, and Limitations
|
57 |
+
|
58 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
59 |
+
|
60 |
+
[More Information Needed]
|
61 |
+
|
62 |
+
### Recommendations
|
63 |
+
|
64 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
65 |
+
|
66 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
67 |
+
|
68 |
+
## How to Get Started with the Model
|
69 |
+
|
70 |
+
Use the code below to get started with the model.
|
71 |
+
|
72 |
+
[More Information Needed]
|
73 |
+
|
74 |
+
## Training Details
|
75 |
+
|
76 |
+
### Training Data
|
77 |
+
|
78 |
+
<!-- This should link to a Data 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. -->
|
79 |
+
|
80 |
+
[More Information Needed]
|
81 |
+
|
82 |
+
### Training Procedure
|
83 |
+
|
84 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
85 |
+
|
86 |
+
#### Preprocessing [optional]
|
87 |
+
|
88 |
+
[More Information Needed]
|
89 |
+
|
90 |
+
|
91 |
+
#### Training Hyperparameters
|
92 |
+
|
93 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
94 |
+
|
95 |
+
#### Speeds, Sizes, Times [optional]
|
96 |
+
|
97 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
98 |
+
|
99 |
+
[More Information Needed]
|
100 |
+
|
101 |
+
## Evaluation
|
102 |
+
|
103 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
104 |
+
|
105 |
+
### Testing Data, Factors & Metrics
|
106 |
+
|
107 |
+
#### Testing Data
|
108 |
+
|
109 |
+
<!-- This should link to a Data Card if possible. -->
|
110 |
+
|
111 |
+
[More Information Needed]
|
112 |
+
|
113 |
+
#### Factors
|
114 |
+
|
115 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
116 |
+
|
117 |
+
[More Information Needed]
|
118 |
+
|
119 |
+
#### Metrics
|
120 |
+
|
121 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
122 |
+
|
123 |
+
[More Information Needed]
|
124 |
+
|
125 |
+
### Results
|
126 |
+
|
127 |
+
[More Information Needed]
|
128 |
+
|
129 |
+
#### Summary
|
130 |
+
|
131 |
+
|
132 |
+
|
133 |
+
## Model Examination [optional]
|
134 |
+
|
135 |
+
<!-- Relevant interpretability work for the model goes here -->
|
136 |
+
|
137 |
+
[More Information Needed]
|
138 |
+
|
139 |
+
## Environmental Impact
|
140 |
+
|
141 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
142 |
+
|
143 |
+
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).
|
144 |
+
|
145 |
+
- **Hardware Type:** [More Information Needed]
|
146 |
+
- **Hours used:** [More Information Needed]
|
147 |
+
- **Cloud Provider:** [More Information Needed]
|
148 |
+
- **Compute Region:** [More Information Needed]
|
149 |
+
- **Carbon Emitted:** [More Information Needed]
|
150 |
+
|
151 |
+
## Technical Specifications [optional]
|
152 |
+
|
153 |
+
### Model Architecture and Objective
|
154 |
+
|
155 |
+
[More Information Needed]
|
156 |
+
|
157 |
+
### Compute Infrastructure
|
158 |
+
|
159 |
+
[More Information Needed]
|
160 |
+
|
161 |
+
#### Hardware
|
162 |
+
|
163 |
+
[More Information Needed]
|
164 |
+
|
165 |
+
#### Software
|
166 |
+
|
167 |
+
[More Information Needed]
|
168 |
+
|
169 |
+
## Citation [optional]
|
170 |
+
|
171 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
172 |
+
|
173 |
+
**BibTeX:**
|
174 |
+
|
175 |
+
[More Information Needed]
|
176 |
+
|
177 |
+
**APA:**
|
178 |
+
|
179 |
+
[More Information Needed]
|
180 |
+
|
181 |
+
## Glossary [optional]
|
182 |
+
|
183 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
184 |
+
|
185 |
+
[More Information Needed]
|
186 |
+
|
187 |
+
## More Information [optional]
|
188 |
+
|
189 |
+
[More Information Needed]
|
190 |
+
|
191 |
+
## Model Card Authors [optional]
|
192 |
+
|
193 |
+
[More Information Needed]
|
194 |
+
|
195 |
+
## Model Card Contact
|
196 |
+
|
197 |
+
[More Information Needed]
|
198 |
+
|
199 |
+
|
200 |
+
## Training procedure
|
201 |
+
|
202 |
+
|
203 |
+
### Framework versions
|
204 |
+
|
205 |
+
|
206 |
+
- PEFT 0.6.2
|
ia3_conv2d/0.6.2/adapter_config.json
ADDED
@@ -0,0 +1,20 @@
|
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|
1 |
+
{
|
2 |
+
"auto_mapping": {
|
3 |
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"base_model_class": "ModelConv2D",
|
4 |
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"parent_library": "test_regression"
|
5 |
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},
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|
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"conv2d"
|
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+
],
|
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|
12 |
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"init_ia3_weights": false,
|
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"modules_to_save": null,
|
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"peft_type": "IA3",
|
15 |
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"revision": null,
|
16 |
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"target_modules": [
|
17 |
+
"conv2d"
|
18 |
+
],
|
19 |
+
"task_type": null
|
20 |
+
}
|
ia3_conv2d/0.6.2/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:7b3d25f99cd10353987666d320c8ae6f7a2e61129836888af543059a6d2233ed
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size 148
|
ia3_conv2d/0.6.2/output.pt
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:6aeaa649528f43b5360de6d40aa805ac7bb1a9a98799172df77d04c21324a308
|
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size 1175
|
ia3_mlp/0.6.2/README.md
ADDED
@@ -0,0 +1,206 @@
|
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|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
|
5 |
+
# Model Card for Model ID
|
6 |
+
|
7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
8 |
+
|
9 |
+
|
10 |
+
|
11 |
+
## Model Details
|
12 |
+
|
13 |
+
### Model Description
|
14 |
+
|
15 |
+
<!-- Provide a longer summary of what this model is. -->
|
16 |
+
|
17 |
+
|
18 |
+
|
19 |
+
- **Developed by:** [More Information Needed]
|
20 |
+
- **Shared by [optional]:** [More Information Needed]
|
21 |
+
- **Model type:** [More Information Needed]
|
22 |
+
- **Language(s) (NLP):** [More Information Needed]
|
23 |
+
- **License:** [More Information Needed]
|
24 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
25 |
+
|
26 |
+
### Model Sources [optional]
|
27 |
+
|
28 |
+
<!-- Provide the basic links for the model. -->
|
29 |
+
|
30 |
+
- **Repository:** [More Information Needed]
|
31 |
+
- **Paper [optional]:** [More Information Needed]
|
32 |
+
- **Demo [optional]:** [More Information Needed]
|
33 |
+
|
34 |
+
## Uses
|
35 |
+
|
36 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
37 |
+
|
38 |
+
### Direct Use
|
39 |
+
|
40 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
41 |
+
|
42 |
+
[More Information Needed]
|
43 |
+
|
44 |
+
### Downstream Use [optional]
|
45 |
+
|
46 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
47 |
+
|
48 |
+
[More Information Needed]
|
49 |
+
|
50 |
+
### Out-of-Scope Use
|
51 |
+
|
52 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
53 |
+
|
54 |
+
[More Information Needed]
|
55 |
+
|
56 |
+
## Bias, Risks, and Limitations
|
57 |
+
|
58 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
59 |
+
|
60 |
+
[More Information Needed]
|
61 |
+
|
62 |
+
### Recommendations
|
63 |
+
|
64 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
65 |
+
|
66 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
67 |
+
|
68 |
+
## How to Get Started with the Model
|
69 |
+
|
70 |
+
Use the code below to get started with the model.
|
71 |
+
|
72 |
+
[More Information Needed]
|
73 |
+
|
74 |
+
## Training Details
|
75 |
+
|
76 |
+
### Training Data
|
77 |
+
|
78 |
+
<!-- This should link to a Data 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. -->
|
79 |
+
|
80 |
+
[More Information Needed]
|
81 |
+
|
82 |
+
### Training Procedure
|
83 |
+
|
84 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
85 |
+
|
86 |
+
#### Preprocessing [optional]
|
87 |
+
|
88 |
+
[More Information Needed]
|
89 |
+
|
90 |
+
|
91 |
+
#### Training Hyperparameters
|
92 |
+
|
93 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
94 |
+
|
95 |
+
#### Speeds, Sizes, Times [optional]
|
96 |
+
|
97 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
98 |
+
|
99 |
+
[More Information Needed]
|
100 |
+
|
101 |
+
## Evaluation
|
102 |
+
|
103 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
104 |
+
|
105 |
+
### Testing Data, Factors & Metrics
|
106 |
+
|
107 |
+
#### Testing Data
|
108 |
+
|
109 |
+
<!-- This should link to a Data Card if possible. -->
|
110 |
+
|
111 |
+
[More Information Needed]
|
112 |
+
|
113 |
+
#### Factors
|
114 |
+
|
115 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
116 |
+
|
117 |
+
[More Information Needed]
|
118 |
+
|
119 |
+
#### Metrics
|
120 |
+
|
121 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
122 |
+
|
123 |
+
[More Information Needed]
|
124 |
+
|
125 |
+
### Results
|
126 |
+
|
127 |
+
[More Information Needed]
|
128 |
+
|
129 |
+
#### Summary
|
130 |
+
|
131 |
+
|
132 |
+
|
133 |
+
## Model Examination [optional]
|
134 |
+
|
135 |
+
<!-- Relevant interpretability work for the model goes here -->
|
136 |
+
|
137 |
+
[More Information Needed]
|
138 |
+
|
139 |
+
## Environmental Impact
|
140 |
+
|
141 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
142 |
+
|
143 |
+
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).
|
144 |
+
|
145 |
+
- **Hardware Type:** [More Information Needed]
|
146 |
+
- **Hours used:** [More Information Needed]
|
147 |
+
- **Cloud Provider:** [More Information Needed]
|
148 |
+
- **Compute Region:** [More Information Needed]
|
149 |
+
- **Carbon Emitted:** [More Information Needed]
|
150 |
+
|
151 |
+
## Technical Specifications [optional]
|
152 |
+
|
153 |
+
### Model Architecture and Objective
|
154 |
+
|
155 |
+
[More Information Needed]
|
156 |
+
|
157 |
+
### Compute Infrastructure
|
158 |
+
|
159 |
+
[More Information Needed]
|
160 |
+
|
161 |
+
#### Hardware
|
162 |
+
|
163 |
+
[More Information Needed]
|
164 |
+
|
165 |
+
#### Software
|
166 |
+
|
167 |
+
[More Information Needed]
|
168 |
+
|
169 |
+
## Citation [optional]
|
170 |
+
|
171 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
172 |
+
|
173 |
+
**BibTeX:**
|
174 |
+
|
175 |
+
[More Information Needed]
|
176 |
+
|
177 |
+
**APA:**
|
178 |
+
|
179 |
+
[More Information Needed]
|
180 |
+
|
181 |
+
## Glossary [optional]
|
182 |
+
|
183 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
184 |
+
|
185 |
+
[More Information Needed]
|
186 |
+
|
187 |
+
## More Information [optional]
|
188 |
+
|
189 |
+
[More Information Needed]
|
190 |
+
|
191 |
+
## Model Card Authors [optional]
|
192 |
+
|
193 |
+
[More Information Needed]
|
194 |
+
|
195 |
+
## Model Card Contact
|
196 |
+
|
197 |
+
[More Information Needed]
|
198 |
+
|
199 |
+
|
200 |
+
## Training procedure
|
201 |
+
|
202 |
+
|
203 |
+
### Framework versions
|
204 |
+
|
205 |
+
|
206 |
+
- PEFT 0.6.2
|
ia3_mlp/0.6.2/adapter_config.json
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
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|
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|
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|
1 |
+
{
|
2 |
+
"auto_mapping": {
|
3 |
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"base_model_class": "MLP",
|
4 |
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|
5 |
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|
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|
8 |
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|
9 |
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|
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],
|
11 |
+
"inference_mode": true,
|
12 |
+
"init_ia3_weights": false,
|
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|
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|
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|
17 |
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|
18 |
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|
19 |
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"task_type": null
|
20 |
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}
|
ia3_mlp/0.6.2/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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ia3_mlp/0.6.2/output.pt
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@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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size 1239
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ia3_no_ff_mlp/0.6.2/README.md
ADDED
@@ -0,0 +1,206 @@
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|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
|
5 |
+
# Model Card for Model ID
|
6 |
+
|
7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
8 |
+
|
9 |
+
|
10 |
+
|
11 |
+
## Model Details
|
12 |
+
|
13 |
+
### Model Description
|
14 |
+
|
15 |
+
<!-- Provide a longer summary of what this model is. -->
|
16 |
+
|
17 |
+
|
18 |
+
|
19 |
+
- **Developed by:** [More Information Needed]
|
20 |
+
- **Shared by [optional]:** [More Information Needed]
|
21 |
+
- **Model type:** [More Information Needed]
|
22 |
+
- **Language(s) (NLP):** [More Information Needed]
|
23 |
+
- **License:** [More Information Needed]
|
24 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
25 |
+
|
26 |
+
### Model Sources [optional]
|
27 |
+
|
28 |
+
<!-- Provide the basic links for the model. -->
|
29 |
+
|
30 |
+
- **Repository:** [More Information Needed]
|
31 |
+
- **Paper [optional]:** [More Information Needed]
|
32 |
+
- **Demo [optional]:** [More Information Needed]
|
33 |
+
|
34 |
+
## Uses
|
35 |
+
|
36 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
37 |
+
|
38 |
+
### Direct Use
|
39 |
+
|
40 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
41 |
+
|
42 |
+
[More Information Needed]
|
43 |
+
|
44 |
+
### Downstream Use [optional]
|
45 |
+
|
46 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
47 |
+
|
48 |
+
[More Information Needed]
|
49 |
+
|
50 |
+
### Out-of-Scope Use
|
51 |
+
|
52 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
53 |
+
|
54 |
+
[More Information Needed]
|
55 |
+
|
56 |
+
## Bias, Risks, and Limitations
|
57 |
+
|
58 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
59 |
+
|
60 |
+
[More Information Needed]
|
61 |
+
|
62 |
+
### Recommendations
|
63 |
+
|
64 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
65 |
+
|
66 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
67 |
+
|
68 |
+
## How to Get Started with the Model
|
69 |
+
|
70 |
+
Use the code below to get started with the model.
|
71 |
+
|
72 |
+
[More Information Needed]
|
73 |
+
|
74 |
+
## Training Details
|
75 |
+
|
76 |
+
### Training Data
|
77 |
+
|
78 |
+
<!-- This should link to a Data 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. -->
|
79 |
+
|
80 |
+
[More Information Needed]
|
81 |
+
|
82 |
+
### Training Procedure
|
83 |
+
|
84 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
85 |
+
|
86 |
+
#### Preprocessing [optional]
|
87 |
+
|
88 |
+
[More Information Needed]
|
89 |
+
|
90 |
+
|
91 |
+
#### Training Hyperparameters
|
92 |
+
|
93 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
94 |
+
|
95 |
+
#### Speeds, Sizes, Times [optional]
|
96 |
+
|
97 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
98 |
+
|
99 |
+
[More Information Needed]
|
100 |
+
|
101 |
+
## Evaluation
|
102 |
+
|
103 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
104 |
+
|
105 |
+
### Testing Data, Factors & Metrics
|
106 |
+
|
107 |
+
#### Testing Data
|
108 |
+
|
109 |
+
<!-- This should link to a Data Card if possible. -->
|
110 |
+
|
111 |
+
[More Information Needed]
|
112 |
+
|
113 |
+
#### Factors
|
114 |
+
|
115 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
116 |
+
|
117 |
+
[More Information Needed]
|
118 |
+
|
119 |
+
#### Metrics
|
120 |
+
|
121 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
122 |
+
|
123 |
+
[More Information Needed]
|
124 |
+
|
125 |
+
### Results
|
126 |
+
|
127 |
+
[More Information Needed]
|
128 |
+
|
129 |
+
#### Summary
|
130 |
+
|
131 |
+
|
132 |
+
|
133 |
+
## Model Examination [optional]
|
134 |
+
|
135 |
+
<!-- Relevant interpretability work for the model goes here -->
|
136 |
+
|
137 |
+
[More Information Needed]
|
138 |
+
|
139 |
+
## Environmental Impact
|
140 |
+
|
141 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
142 |
+
|
143 |
+
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).
|
144 |
+
|
145 |
+
- **Hardware Type:** [More Information Needed]
|
146 |
+
- **Hours used:** [More Information Needed]
|
147 |
+
- **Cloud Provider:** [More Information Needed]
|
148 |
+
- **Compute Region:** [More Information Needed]
|
149 |
+
- **Carbon Emitted:** [More Information Needed]
|
150 |
+
|
151 |
+
## Technical Specifications [optional]
|
152 |
+
|
153 |
+
### Model Architecture and Objective
|
154 |
+
|
155 |
+
[More Information Needed]
|
156 |
+
|
157 |
+
### Compute Infrastructure
|
158 |
+
|
159 |
+
[More Information Needed]
|
160 |
+
|
161 |
+
#### Hardware
|
162 |
+
|
163 |
+
[More Information Needed]
|
164 |
+
|
165 |
+
#### Software
|
166 |
+
|
167 |
+
[More Information Needed]
|
168 |
+
|
169 |
+
## Citation [optional]
|
170 |
+
|
171 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
172 |
+
|
173 |
+
**BibTeX:**
|
174 |
+
|
175 |
+
[More Information Needed]
|
176 |
+
|
177 |
+
**APA:**
|
178 |
+
|
179 |
+
[More Information Needed]
|
180 |
+
|
181 |
+
## Glossary [optional]
|
182 |
+
|
183 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
184 |
+
|
185 |
+
[More Information Needed]
|
186 |
+
|
187 |
+
## More Information [optional]
|
188 |
+
|
189 |
+
[More Information Needed]
|
190 |
+
|
191 |
+
## Model Card Authors [optional]
|
192 |
+
|
193 |
+
[More Information Needed]
|
194 |
+
|
195 |
+
## Model Card Contact
|
196 |
+
|
197 |
+
[More Information Needed]
|
198 |
+
|
199 |
+
|
200 |
+
## Training procedure
|
201 |
+
|
202 |
+
|
203 |
+
### Framework versions
|
204 |
+
|
205 |
+
|
206 |
+
- PEFT 0.6.2
|
ia3_no_ff_mlp/0.6.2/adapter_config.json
ADDED
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": {
|
3 |
+
"base_model_class": "MLP",
|
4 |
+
"parent_library": "test_regression"
|
5 |
+
},
|
6 |
+
"base_model_name_or_path": null,
|
7 |
+
"fan_in_fan_out": false,
|
8 |
+
"feedforward_modules": [],
|
9 |
+
"inference_mode": true,
|
10 |
+
"init_ia3_weights": false,
|
11 |
+
"modules_to_save": null,
|
12 |
+
"peft_type": "IA3",
|
13 |
+
"revision": null,
|
14 |
+
"target_modules": [
|
15 |
+
"lin0"
|
16 |
+
],
|
17 |
+
"task_type": null
|
18 |
+
}
|
ia3_no_ff_mlp/0.6.2/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5dd84ea77e8fe4df72057bd6b5a02c633dae2afa33b6d7286f2859c5dd53a8c0
|
3 |
+
size 208
|
ia3_no_ff_mlp/0.6.2/output.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6916d7bee023d39d11075986bb824a1569bffe25f855ddb956e95c56886a1164
|
3 |
+
size 1239
|
ia3_opt-350m/0.6.2/README.md
ADDED
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: facebook/opt-350m
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Shared by [optional]:** [More Information Needed]
|
22 |
+
- **Model type:** [More Information Needed]
|
23 |
+
- **Language(s) (NLP):** [More Information Needed]
|
24 |
+
- **License:** [More Information Needed]
|
25 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
26 |
+
|
27 |
+
### Model Sources [optional]
|
28 |
+
|
29 |
+
<!-- Provide the basic links for the model. -->
|
30 |
+
|
31 |
+
- **Repository:** [More Information Needed]
|
32 |
+
- **Paper [optional]:** [More Information Needed]
|
33 |
+
- **Demo [optional]:** [More Information Needed]
|
34 |
+
|
35 |
+
## Uses
|
36 |
+
|
37 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
38 |
+
|
39 |
+
### Direct Use
|
40 |
+
|
41 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
42 |
+
|
43 |
+
[More Information Needed]
|
44 |
+
|
45 |
+
### Downstream Use [optional]
|
46 |
+
|
47 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
48 |
+
|
49 |
+
[More Information Needed]
|
50 |
+
|
51 |
+
### Out-of-Scope Use
|
52 |
+
|
53 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
54 |
+
|
55 |
+
[More Information Needed]
|
56 |
+
|
57 |
+
## Bias, Risks, and Limitations
|
58 |
+
|
59 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
60 |
+
|
61 |
+
[More Information Needed]
|
62 |
+
|
63 |
+
### Recommendations
|
64 |
+
|
65 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
66 |
+
|
67 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
68 |
+
|
69 |
+
## How to Get Started with the Model
|
70 |
+
|
71 |
+
Use the code below to get started with the model.
|
72 |
+
|
73 |
+
[More Information Needed]
|
74 |
+
|
75 |
+
## Training Details
|
76 |
+
|
77 |
+
### Training Data
|
78 |
+
|
79 |
+
<!-- This should link to a Data 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. -->
|
80 |
+
|
81 |
+
[More Information Needed]
|
82 |
+
|
83 |
+
### Training Procedure
|
84 |
+
|
85 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
86 |
+
|
87 |
+
#### Preprocessing [optional]
|
88 |
+
|
89 |
+
[More Information Needed]
|
90 |
+
|
91 |
+
|
92 |
+
#### Training Hyperparameters
|
93 |
+
|
94 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
95 |
+
|
96 |
+
#### Speeds, Sizes, Times [optional]
|
97 |
+
|
98 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
99 |
+
|
100 |
+
[More Information Needed]
|
101 |
+
|
102 |
+
## Evaluation
|
103 |
+
|
104 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
105 |
+
|
106 |
+
### Testing Data, Factors & Metrics
|
107 |
+
|
108 |
+
#### Testing Data
|
109 |
+
|
110 |
+
<!-- This should link to a Data Card if possible. -->
|
111 |
+
|
112 |
+
[More Information Needed]
|
113 |
+
|
114 |
+
#### Factors
|
115 |
+
|
116 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
117 |
+
|
118 |
+
[More Information Needed]
|
119 |
+
|
120 |
+
#### Metrics
|
121 |
+
|
122 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
123 |
+
|
124 |
+
[More Information Needed]
|
125 |
+
|
126 |
+
### Results
|
127 |
+
|
128 |
+
[More Information Needed]
|
129 |
+
|
130 |
+
#### Summary
|
131 |
+
|
132 |
+
|
133 |
+
|
134 |
+
## Model Examination [optional]
|
135 |
+
|
136 |
+
<!-- Relevant interpretability work for the model goes here -->
|
137 |
+
|
138 |
+
[More Information Needed]
|
139 |
+
|
140 |
+
## Environmental Impact
|
141 |
+
|
142 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
143 |
+
|
144 |
+
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).
|
145 |
+
|
146 |
+
- **Hardware Type:** [More Information Needed]
|
147 |
+
- **Hours used:** [More Information Needed]
|
148 |
+
- **Cloud Provider:** [More Information Needed]
|
149 |
+
- **Compute Region:** [More Information Needed]
|
150 |
+
- **Carbon Emitted:** [More Information Needed]
|
151 |
+
|
152 |
+
## Technical Specifications [optional]
|
153 |
+
|
154 |
+
### Model Architecture and Objective
|
155 |
+
|
156 |
+
[More Information Needed]
|
157 |
+
|
158 |
+
### Compute Infrastructure
|
159 |
+
|
160 |
+
[More Information Needed]
|
161 |
+
|
162 |
+
#### Hardware
|
163 |
+
|
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+
[More Information Needed]
|
165 |
+
|
166 |
+
#### Software
|
167 |
+
|
168 |
+
[More Information Needed]
|
169 |
+
|
170 |
+
## Citation [optional]
|
171 |
+
|
172 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
173 |
+
|
174 |
+
**BibTeX:**
|
175 |
+
|
176 |
+
[More Information Needed]
|
177 |
+
|
178 |
+
**APA:**
|
179 |
+
|
180 |
+
[More Information Needed]
|
181 |
+
|
182 |
+
## Glossary [optional]
|
183 |
+
|
184 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
185 |
+
|
186 |
+
[More Information Needed]
|
187 |
+
|
188 |
+
## More Information [optional]
|
189 |
+
|
190 |
+
[More Information Needed]
|
191 |
+
|
192 |
+
## Model Card Authors [optional]
|
193 |
+
|
194 |
+
[More Information Needed]
|
195 |
+
|
196 |
+
## Model Card Contact
|
197 |
+
|
198 |
+
[More Information Needed]
|
199 |
+
|
200 |
+
|
201 |
+
## Training procedure
|
202 |
+
|
203 |
+
|
204 |
+
### Framework versions
|
205 |
+
|
206 |
+
|
207 |
+
- PEFT 0.6.2
|
ia3_opt-350m/0.6.2/adapter_config.json
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|
18 |
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"k_proj",
|
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"fc2"
|
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+
],
|
21 |
+
"task_type": null
|
22 |
+
}
|
ia3_opt-350m/0.6.2/adapter_model.safetensors
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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ia3_opt-350m/0.6.2/output.pt
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@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
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lora_conv2d/0.6.2/README.md
ADDED
@@ -0,0 +1,206 @@
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|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
|
5 |
+
# Model Card for Model ID
|
6 |
+
|
7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
8 |
+
|
9 |
+
|
10 |
+
|
11 |
+
## Model Details
|
12 |
+
|
13 |
+
### Model Description
|
14 |
+
|
15 |
+
<!-- Provide a longer summary of what this model is. -->
|
16 |
+
|
17 |
+
|
18 |
+
|
19 |
+
- **Developed by:** [More Information Needed]
|
20 |
+
- **Shared by [optional]:** [More Information Needed]
|
21 |
+
- **Model type:** [More Information Needed]
|
22 |
+
- **Language(s) (NLP):** [More Information Needed]
|
23 |
+
- **License:** [More Information Needed]
|
24 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
25 |
+
|
26 |
+
### Model Sources [optional]
|
27 |
+
|
28 |
+
<!-- Provide the basic links for the model. -->
|
29 |
+
|
30 |
+
- **Repository:** [More Information Needed]
|
31 |
+
- **Paper [optional]:** [More Information Needed]
|
32 |
+
- **Demo [optional]:** [More Information Needed]
|
33 |
+
|
34 |
+
## Uses
|
35 |
+
|
36 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
37 |
+
|
38 |
+
### Direct Use
|
39 |
+
|
40 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
41 |
+
|
42 |
+
[More Information Needed]
|
43 |
+
|
44 |
+
### Downstream Use [optional]
|
45 |
+
|
46 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
47 |
+
|
48 |
+
[More Information Needed]
|
49 |
+
|
50 |
+
### Out-of-Scope Use
|
51 |
+
|
52 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
53 |
+
|
54 |
+
[More Information Needed]
|
55 |
+
|
56 |
+
## Bias, Risks, and Limitations
|
57 |
+
|
58 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
59 |
+
|
60 |
+
[More Information Needed]
|
61 |
+
|
62 |
+
### Recommendations
|
63 |
+
|
64 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
65 |
+
|
66 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
67 |
+
|
68 |
+
## How to Get Started with the Model
|
69 |
+
|
70 |
+
Use the code below to get started with the model.
|
71 |
+
|
72 |
+
[More Information Needed]
|
73 |
+
|
74 |
+
## Training Details
|
75 |
+
|
76 |
+
### Training Data
|
77 |
+
|
78 |
+
<!-- This should link to a Data 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. -->
|
79 |
+
|
80 |
+
[More Information Needed]
|
81 |
+
|
82 |
+
### Training Procedure
|
83 |
+
|
84 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
85 |
+
|
86 |
+
#### Preprocessing [optional]
|
87 |
+
|
88 |
+
[More Information Needed]
|
89 |
+
|
90 |
+
|
91 |
+
#### Training Hyperparameters
|
92 |
+
|
93 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
94 |
+
|
95 |
+
#### Speeds, Sizes, Times [optional]
|
96 |
+
|
97 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
98 |
+
|
99 |
+
[More Information Needed]
|
100 |
+
|
101 |
+
## Evaluation
|
102 |
+
|
103 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
104 |
+
|
105 |
+
### Testing Data, Factors & Metrics
|
106 |
+
|
107 |
+
#### Testing Data
|
108 |
+
|
109 |
+
<!-- This should link to a Data Card if possible. -->
|
110 |
+
|
111 |
+
[More Information Needed]
|
112 |
+
|
113 |
+
#### Factors
|
114 |
+
|
115 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
116 |
+
|
117 |
+
[More Information Needed]
|
118 |
+
|
119 |
+
#### Metrics
|
120 |
+
|
121 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
122 |
+
|
123 |
+
[More Information Needed]
|
124 |
+
|
125 |
+
### Results
|
126 |
+
|
127 |
+
[More Information Needed]
|
128 |
+
|
129 |
+
#### Summary
|
130 |
+
|
131 |
+
|
132 |
+
|
133 |
+
## Model Examination [optional]
|
134 |
+
|
135 |
+
<!-- Relevant interpretability work for the model goes here -->
|
136 |
+
|
137 |
+
[More Information Needed]
|
138 |
+
|
139 |
+
## Environmental Impact
|
140 |
+
|
141 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
142 |
+
|
143 |
+
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).
|
144 |
+
|
145 |
+
- **Hardware Type:** [More Information Needed]
|
146 |
+
- **Hours used:** [More Information Needed]
|
147 |
+
- **Cloud Provider:** [More Information Needed]
|
148 |
+
- **Compute Region:** [More Information Needed]
|
149 |
+
- **Carbon Emitted:** [More Information Needed]
|
150 |
+
|
151 |
+
## Technical Specifications [optional]
|
152 |
+
|
153 |
+
### Model Architecture and Objective
|
154 |
+
|
155 |
+
[More Information Needed]
|
156 |
+
|
157 |
+
### Compute Infrastructure
|
158 |
+
|
159 |
+
[More Information Needed]
|
160 |
+
|
161 |
+
#### Hardware
|
162 |
+
|
163 |
+
[More Information Needed]
|
164 |
+
|
165 |
+
#### Software
|
166 |
+
|
167 |
+
[More Information Needed]
|
168 |
+
|
169 |
+
## Citation [optional]
|
170 |
+
|
171 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
172 |
+
|
173 |
+
**BibTeX:**
|
174 |
+
|
175 |
+
[More Information Needed]
|
176 |
+
|
177 |
+
**APA:**
|
178 |
+
|
179 |
+
[More Information Needed]
|
180 |
+
|
181 |
+
## Glossary [optional]
|
182 |
+
|
183 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
184 |
+
|
185 |
+
[More Information Needed]
|
186 |
+
|
187 |
+
## More Information [optional]
|
188 |
+
|
189 |
+
[More Information Needed]
|
190 |
+
|
191 |
+
## Model Card Authors [optional]
|
192 |
+
|
193 |
+
[More Information Needed]
|
194 |
+
|
195 |
+
## Model Card Contact
|
196 |
+
|
197 |
+
[More Information Needed]
|
198 |
+
|
199 |
+
|
200 |
+
## Training procedure
|
201 |
+
|
202 |
+
|
203 |
+
### Framework versions
|
204 |
+
|
205 |
+
|
206 |
+
- PEFT 0.6.2
|
lora_conv2d/0.6.2/adapter_config.json
ADDED
@@ -0,0 +1,25 @@
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25 |
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lora_conv2d/0.6.2/adapter_model.safetensors
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@@ -0,0 +1,3 @@
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1 |
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|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
|
5 |
+
# Model Card for Model ID
|
6 |
+
|
7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
8 |
+
|
9 |
+
|
10 |
+
|
11 |
+
## Model Details
|
12 |
+
|
13 |
+
### Model Description
|
14 |
+
|
15 |
+
<!-- Provide a longer summary of what this model is. -->
|
16 |
+
|
17 |
+
|
18 |
+
|
19 |
+
- **Developed by:** [More Information Needed]
|
20 |
+
- **Shared by [optional]:** [More Information Needed]
|
21 |
+
- **Model type:** [More Information Needed]
|
22 |
+
- **Language(s) (NLP):** [More Information Needed]
|
23 |
+
- **License:** [More Information Needed]
|
24 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
25 |
+
|
26 |
+
### Model Sources [optional]
|
27 |
+
|
28 |
+
<!-- Provide the basic links for the model. -->
|
29 |
+
|
30 |
+
- **Repository:** [More Information Needed]
|
31 |
+
- **Paper [optional]:** [More Information Needed]
|
32 |
+
- **Demo [optional]:** [More Information Needed]
|
33 |
+
|
34 |
+
## Uses
|
35 |
+
|
36 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
37 |
+
|
38 |
+
### Direct Use
|
39 |
+
|
40 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
41 |
+
|
42 |
+
[More Information Needed]
|
43 |
+
|
44 |
+
### Downstream Use [optional]
|
45 |
+
|
46 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
47 |
+
|
48 |
+
[More Information Needed]
|
49 |
+
|
50 |
+
### Out-of-Scope Use
|
51 |
+
|
52 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
53 |
+
|
54 |
+
[More Information Needed]
|
55 |
+
|
56 |
+
## Bias, Risks, and Limitations
|
57 |
+
|
58 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
59 |
+
|
60 |
+
[More Information Needed]
|
61 |
+
|
62 |
+
### Recommendations
|
63 |
+
|
64 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
65 |
+
|
66 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
67 |
+
|
68 |
+
## How to Get Started with the Model
|
69 |
+
|
70 |
+
Use the code below to get started with the model.
|
71 |
+
|
72 |
+
[More Information Needed]
|
73 |
+
|
74 |
+
## Training Details
|
75 |
+
|
76 |
+
### Training Data
|
77 |
+
|
78 |
+
<!-- This should link to a Data 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. -->
|
79 |
+
|
80 |
+
[More Information Needed]
|
81 |
+
|
82 |
+
### Training Procedure
|
83 |
+
|
84 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
85 |
+
|
86 |
+
#### Preprocessing [optional]
|
87 |
+
|
88 |
+
[More Information Needed]
|
89 |
+
|
90 |
+
|
91 |
+
#### Training Hyperparameters
|
92 |
+
|
93 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
94 |
+
|
95 |
+
#### Speeds, Sizes, Times [optional]
|
96 |
+
|
97 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
98 |
+
|
99 |
+
[More Information Needed]
|
100 |
+
|
101 |
+
## Evaluation
|
102 |
+
|
103 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
104 |
+
|
105 |
+
### Testing Data, Factors & Metrics
|
106 |
+
|
107 |
+
#### Testing Data
|
108 |
+
|
109 |
+
<!-- This should link to a Data Card if possible. -->
|
110 |
+
|
111 |
+
[More Information Needed]
|
112 |
+
|
113 |
+
#### Factors
|
114 |
+
|
115 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
116 |
+
|
117 |
+
[More Information Needed]
|
118 |
+
|
119 |
+
#### Metrics
|
120 |
+
|
121 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
122 |
+
|
123 |
+
[More Information Needed]
|
124 |
+
|
125 |
+
### Results
|
126 |
+
|
127 |
+
[More Information Needed]
|
128 |
+
|
129 |
+
#### Summary
|
130 |
+
|
131 |
+
|
132 |
+
|
133 |
+
## Model Examination [optional]
|
134 |
+
|
135 |
+
<!-- Relevant interpretability work for the model goes here -->
|
136 |
+
|
137 |
+
[More Information Needed]
|
138 |
+
|
139 |
+
## Environmental Impact
|
140 |
+
|
141 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
142 |
+
|
143 |
+
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).
|
144 |
+
|
145 |
+
- **Hardware Type:** [More Information Needed]
|
146 |
+
- **Hours used:** [More Information Needed]
|
147 |
+
- **Cloud Provider:** [More Information Needed]
|
148 |
+
- **Compute Region:** [More Information Needed]
|
149 |
+
- **Carbon Emitted:** [More Information Needed]
|
150 |
+
|
151 |
+
## Technical Specifications [optional]
|
152 |
+
|
153 |
+
### Model Architecture and Objective
|
154 |
+
|
155 |
+
[More Information Needed]
|
156 |
+
|
157 |
+
### Compute Infrastructure
|
158 |
+
|
159 |
+
[More Information Needed]
|
160 |
+
|
161 |
+
#### Hardware
|
162 |
+
|
163 |
+
[More Information Needed]
|
164 |
+
|
165 |
+
#### Software
|
166 |
+
|
167 |
+
[More Information Needed]
|
168 |
+
|
169 |
+
## Citation [optional]
|
170 |
+
|
171 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
172 |
+
|
173 |
+
**BibTeX:**
|
174 |
+
|
175 |
+
[More Information Needed]
|
176 |
+
|
177 |
+
**APA:**
|
178 |
+
|
179 |
+
[More Information Needed]
|
180 |
+
|
181 |
+
## Glossary [optional]
|
182 |
+
|
183 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
184 |
+
|
185 |
+
[More Information Needed]
|
186 |
+
|
187 |
+
## More Information [optional]
|
188 |
+
|
189 |
+
[More Information Needed]
|
190 |
+
|
191 |
+
## Model Card Authors [optional]
|
192 |
+
|
193 |
+
[More Information Needed]
|
194 |
+
|
195 |
+
## Model Card Contact
|
196 |
+
|
197 |
+
[More Information Needed]
|
198 |
+
|
199 |
+
|
200 |
+
## Training procedure
|
201 |
+
|
202 |
+
|
203 |
+
### Framework versions
|
204 |
+
|
205 |
+
|
206 |
+
- PEFT 0.6.2
|
lora_emb_conv1d/0.6.2/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": {
|
4 |
+
"base_model_class": "ModelEmbConv1D",
|
5 |
+
"parent_library": "test_regression"
|
6 |
+
},
|
7 |
+
"base_model_name_or_path": null,
|
8 |
+
"bias": "none",
|
9 |
+
"fan_in_fan_out": true,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": false,
|
12 |
+
"layers_pattern": null,
|
13 |
+
"layers_to_transform": null,
|
14 |
+
"lora_alpha": 8,
|
15 |
+
"lora_dropout": 0.0,
|
16 |
+
"modules_to_save": null,
|
17 |
+
"peft_type": "LORA",
|
18 |
+
"r": 8,
|
19 |
+
"rank_pattern": {},
|
20 |
+
"revision": null,
|
21 |
+
"target_modules": [
|
22 |
+
"emb",
|
23 |
+
"conv1d"
|
24 |
+
],
|
25 |
+
"task_type": null
|
26 |
+
}
|
lora_emb_conv1d/0.6.2/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5d1b535c7c7b3338f55c6c5b085b61d353d2a413f258bf6c4c05d5c8e6e00534
|
3 |
+
size 3976
|
lora_emb_conv1d/0.6.2/output.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7587645064a53bf568a92ecbc0e5f6f90fe84aa46c35402287b5d7bae3b4a015
|
3 |
+
size 1239
|
lora_mlp/0.6.2/README.md
ADDED
@@ -0,0 +1,206 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
|
5 |
+
# Model Card for Model ID
|
6 |
+
|
7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
8 |
+
|
9 |
+
|
10 |
+
|
11 |
+
## Model Details
|
12 |
+
|
13 |
+
### Model Description
|
14 |
+
|
15 |
+
<!-- Provide a longer summary of what this model is. -->
|
16 |
+
|
17 |
+
|
18 |
+
|
19 |
+
- **Developed by:** [More Information Needed]
|
20 |
+
- **Shared by [optional]:** [More Information Needed]
|
21 |
+
- **Model type:** [More Information Needed]
|
22 |
+
- **Language(s) (NLP):** [More Information Needed]
|
23 |
+
- **License:** [More Information Needed]
|
24 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
25 |
+
|
26 |
+
### Model Sources [optional]
|
27 |
+
|
28 |
+
<!-- Provide the basic links for the model. -->
|
29 |
+
|
30 |
+
- **Repository:** [More Information Needed]
|
31 |
+
- **Paper [optional]:** [More Information Needed]
|
32 |
+
- **Demo [optional]:** [More Information Needed]
|
33 |
+
|
34 |
+
## Uses
|
35 |
+
|
36 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
37 |
+
|
38 |
+
### Direct Use
|
39 |
+
|
40 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
41 |
+
|
42 |
+
[More Information Needed]
|
43 |
+
|
44 |
+
### Downstream Use [optional]
|
45 |
+
|
46 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
47 |
+
|
48 |
+
[More Information Needed]
|
49 |
+
|
50 |
+
### Out-of-Scope Use
|
51 |
+
|
52 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
53 |
+
|
54 |
+
[More Information Needed]
|
55 |
+
|
56 |
+
## Bias, Risks, and Limitations
|
57 |
+
|
58 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
59 |
+
|
60 |
+
[More Information Needed]
|
61 |
+
|
62 |
+
### Recommendations
|
63 |
+
|
64 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
65 |
+
|
66 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
67 |
+
|
68 |
+
## How to Get Started with the Model
|
69 |
+
|
70 |
+
Use the code below to get started with the model.
|
71 |
+
|
72 |
+
[More Information Needed]
|
73 |
+
|
74 |
+
## Training Details
|
75 |
+
|
76 |
+
### Training Data
|
77 |
+
|
78 |
+
<!-- This should link to a Data 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. -->
|
79 |
+
|
80 |
+
[More Information Needed]
|
81 |
+
|
82 |
+
### Training Procedure
|
83 |
+
|
84 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
85 |
+
|
86 |
+
#### Preprocessing [optional]
|
87 |
+
|
88 |
+
[More Information Needed]
|
89 |
+
|
90 |
+
|
91 |
+
#### Training Hyperparameters
|
92 |
+
|
93 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
94 |
+
|
95 |
+
#### Speeds, Sizes, Times [optional]
|
96 |
+
|
97 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
98 |
+
|
99 |
+
[More Information Needed]
|
100 |
+
|
101 |
+
## Evaluation
|
102 |
+
|
103 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
104 |
+
|
105 |
+
### Testing Data, Factors & Metrics
|
106 |
+
|
107 |
+
#### Testing Data
|
108 |
+
|
109 |
+
<!-- This should link to a Data Card if possible. -->
|
110 |
+
|
111 |
+
[More Information Needed]
|
112 |
+
|
113 |
+
#### Factors
|
114 |
+
|
115 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
116 |
+
|
117 |
+
[More Information Needed]
|
118 |
+
|
119 |
+
#### Metrics
|
120 |
+
|
121 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
122 |
+
|
123 |
+
[More Information Needed]
|
124 |
+
|
125 |
+
### Results
|
126 |
+
|
127 |
+
[More Information Needed]
|
128 |
+
|
129 |
+
#### Summary
|
130 |
+
|
131 |
+
|
132 |
+
|
133 |
+
## Model Examination [optional]
|
134 |
+
|
135 |
+
<!-- Relevant interpretability work for the model goes here -->
|
136 |
+
|
137 |
+
[More Information Needed]
|
138 |
+
|
139 |
+
## Environmental Impact
|
140 |
+
|
141 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
142 |
+
|
143 |
+
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).
|
144 |
+
|
145 |
+
- **Hardware Type:** [More Information Needed]
|
146 |
+
- **Hours used:** [More Information Needed]
|
147 |
+
- **Cloud Provider:** [More Information Needed]
|
148 |
+
- **Compute Region:** [More Information Needed]
|
149 |
+
- **Carbon Emitted:** [More Information Needed]
|
150 |
+
|
151 |
+
## Technical Specifications [optional]
|
152 |
+
|
153 |
+
### Model Architecture and Objective
|
154 |
+
|
155 |
+
[More Information Needed]
|
156 |
+
|
157 |
+
### Compute Infrastructure
|
158 |
+
|
159 |
+
[More Information Needed]
|
160 |
+
|
161 |
+
#### Hardware
|
162 |
+
|
163 |
+
[More Information Needed]
|
164 |
+
|
165 |
+
#### Software
|
166 |
+
|
167 |
+
[More Information Needed]
|
168 |
+
|
169 |
+
## Citation [optional]
|
170 |
+
|
171 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
172 |
+
|
173 |
+
**BibTeX:**
|
174 |
+
|
175 |
+
[More Information Needed]
|
176 |
+
|
177 |
+
**APA:**
|
178 |
+
|
179 |
+
[More Information Needed]
|
180 |
+
|
181 |
+
## Glossary [optional]
|
182 |
+
|
183 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
184 |
+
|
185 |
+
[More Information Needed]
|
186 |
+
|
187 |
+
## More Information [optional]
|
188 |
+
|
189 |
+
[More Information Needed]
|
190 |
+
|
191 |
+
## Model Card Authors [optional]
|
192 |
+
|
193 |
+
[More Information Needed]
|
194 |
+
|
195 |
+
## Model Card Contact
|
196 |
+
|
197 |
+
[More Information Needed]
|
198 |
+
|
199 |
+
|
200 |
+
## Training procedure
|
201 |
+
|
202 |
+
|
203 |
+
### Framework versions
|
204 |
+
|
205 |
+
|
206 |
+
- PEFT 0.6.2
|
lora_mlp/0.6.2/adapter_config.json
ADDED
@@ -0,0 +1,25 @@
|
|
|
|
|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": {
|
4 |
+
"base_model_class": "MLP",
|
5 |
+
"parent_library": "test_regression"
|
6 |
+
},
|
7 |
+
"base_model_name_or_path": null,
|
8 |
+
"bias": "none",
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": false,
|
12 |
+
"layers_pattern": null,
|
13 |
+
"layers_to_transform": null,
|
14 |
+
"lora_alpha": 8,
|
15 |
+
"lora_dropout": 0.0,
|
16 |
+
"modules_to_save": null,
|
17 |
+
"peft_type": "LORA",
|
18 |
+
"r": 8,
|
19 |
+
"rank_pattern": {},
|
20 |
+
"revision": null,
|
21 |
+
"target_modules": [
|
22 |
+
"lin0"
|
23 |
+
],
|
24 |
+
"task_type": null
|
25 |
+
}
|
lora_mlp/0.6.2/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:5dd16d2ccf171be88c29650a5780635f0418d21e8c74f7e4e919c3498e74d6a0
|
3 |
+
size 1192
|
lora_mlp/0.6.2/output.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:50bcd27616ca78b6a55df1f21901d25ff81b4bcc4b8633e9de5456be9e76ede2
|
3 |
+
size 1239
|
lora_mlp_modules_to_save/0.6.2/README.md
ADDED
@@ -0,0 +1,206 @@
|
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|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
|
5 |
+
# Model Card for Model ID
|
6 |
+
|
7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
8 |
+
|
9 |
+
|
10 |
+
|
11 |
+
## Model Details
|
12 |
+
|
13 |
+
### Model Description
|
14 |
+
|
15 |
+
<!-- Provide a longer summary of what this model is. -->
|
16 |
+
|
17 |
+
|
18 |
+
|
19 |
+
- **Developed by:** [More Information Needed]
|
20 |
+
- **Shared by [optional]:** [More Information Needed]
|
21 |
+
- **Model type:** [More Information Needed]
|
22 |
+
- **Language(s) (NLP):** [More Information Needed]
|
23 |
+
- **License:** [More Information Needed]
|
24 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
25 |
+
|
26 |
+
### Model Sources [optional]
|
27 |
+
|
28 |
+
<!-- Provide the basic links for the model. -->
|
29 |
+
|
30 |
+
- **Repository:** [More Information Needed]
|
31 |
+
- **Paper [optional]:** [More Information Needed]
|
32 |
+
- **Demo [optional]:** [More Information Needed]
|
33 |
+
|
34 |
+
## Uses
|
35 |
+
|
36 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
37 |
+
|
38 |
+
### Direct Use
|
39 |
+
|
40 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
41 |
+
|
42 |
+
[More Information Needed]
|
43 |
+
|
44 |
+
### Downstream Use [optional]
|
45 |
+
|
46 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
47 |
+
|
48 |
+
[More Information Needed]
|
49 |
+
|
50 |
+
### Out-of-Scope Use
|
51 |
+
|
52 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
53 |
+
|
54 |
+
[More Information Needed]
|
55 |
+
|
56 |
+
## Bias, Risks, and Limitations
|
57 |
+
|
58 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
59 |
+
|
60 |
+
[More Information Needed]
|
61 |
+
|
62 |
+
### Recommendations
|
63 |
+
|
64 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
65 |
+
|
66 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
67 |
+
|
68 |
+
## How to Get Started with the Model
|
69 |
+
|
70 |
+
Use the code below to get started with the model.
|
71 |
+
|
72 |
+
[More Information Needed]
|
73 |
+
|
74 |
+
## Training Details
|
75 |
+
|
76 |
+
### Training Data
|
77 |
+
|
78 |
+
<!-- This should link to a Data 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. -->
|
79 |
+
|
80 |
+
[More Information Needed]
|
81 |
+
|
82 |
+
### Training Procedure
|
83 |
+
|
84 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
85 |
+
|
86 |
+
#### Preprocessing [optional]
|
87 |
+
|
88 |
+
[More Information Needed]
|
89 |
+
|
90 |
+
|
91 |
+
#### Training Hyperparameters
|
92 |
+
|
93 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
94 |
+
|
95 |
+
#### Speeds, Sizes, Times [optional]
|
96 |
+
|
97 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
98 |
+
|
99 |
+
[More Information Needed]
|
100 |
+
|
101 |
+
## Evaluation
|
102 |
+
|
103 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
104 |
+
|
105 |
+
### Testing Data, Factors & Metrics
|
106 |
+
|
107 |
+
#### Testing Data
|
108 |
+
|
109 |
+
<!-- This should link to a Data Card if possible. -->
|
110 |
+
|
111 |
+
[More Information Needed]
|
112 |
+
|
113 |
+
#### Factors
|
114 |
+
|
115 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
116 |
+
|
117 |
+
[More Information Needed]
|
118 |
+
|
119 |
+
#### Metrics
|
120 |
+
|
121 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
122 |
+
|
123 |
+
[More Information Needed]
|
124 |
+
|
125 |
+
### Results
|
126 |
+
|
127 |
+
[More Information Needed]
|
128 |
+
|
129 |
+
#### Summary
|
130 |
+
|
131 |
+
|
132 |
+
|
133 |
+
## Model Examination [optional]
|
134 |
+
|
135 |
+
<!-- Relevant interpretability work for the model goes here -->
|
136 |
+
|
137 |
+
[More Information Needed]
|
138 |
+
|
139 |
+
## Environmental Impact
|
140 |
+
|
141 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
142 |
+
|
143 |
+
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).
|
144 |
+
|
145 |
+
- **Hardware Type:** [More Information Needed]
|
146 |
+
- **Hours used:** [More Information Needed]
|
147 |
+
- **Cloud Provider:** [More Information Needed]
|
148 |
+
- **Compute Region:** [More Information Needed]
|
149 |
+
- **Carbon Emitted:** [More Information Needed]
|
150 |
+
|
151 |
+
## Technical Specifications [optional]
|
152 |
+
|
153 |
+
### Model Architecture and Objective
|
154 |
+
|
155 |
+
[More Information Needed]
|
156 |
+
|
157 |
+
### Compute Infrastructure
|
158 |
+
|
159 |
+
[More Information Needed]
|
160 |
+
|
161 |
+
#### Hardware
|
162 |
+
|
163 |
+
[More Information Needed]
|
164 |
+
|
165 |
+
#### Software
|
166 |
+
|
167 |
+
[More Information Needed]
|
168 |
+
|
169 |
+
## Citation [optional]
|
170 |
+
|
171 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
172 |
+
|
173 |
+
**BibTeX:**
|
174 |
+
|
175 |
+
[More Information Needed]
|
176 |
+
|
177 |
+
**APA:**
|
178 |
+
|
179 |
+
[More Information Needed]
|
180 |
+
|
181 |
+
## Glossary [optional]
|
182 |
+
|
183 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
184 |
+
|
185 |
+
[More Information Needed]
|
186 |
+
|
187 |
+
## More Information [optional]
|
188 |
+
|
189 |
+
[More Information Needed]
|
190 |
+
|
191 |
+
## Model Card Authors [optional]
|
192 |
+
|
193 |
+
[More Information Needed]
|
194 |
+
|
195 |
+
## Model Card Contact
|
196 |
+
|
197 |
+
[More Information Needed]
|
198 |
+
|
199 |
+
|
200 |
+
## Training procedure
|
201 |
+
|
202 |
+
|
203 |
+
### Framework versions
|
204 |
+
|
205 |
+
|
206 |
+
- PEFT 0.6.2
|
lora_mlp_modules_to_save/0.6.2/adapter_config.json
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": {
|
4 |
+
"base_model_class": "MLP",
|
5 |
+
"parent_library": "test_regression"
|
6 |
+
},
|
7 |
+
"base_model_name_or_path": null,
|
8 |
+
"bias": "none",
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": false,
|
12 |
+
"layers_pattern": null,
|
13 |
+
"layers_to_transform": null,
|
14 |
+
"lora_alpha": 8,
|
15 |
+
"lora_dropout": 0.0,
|
16 |
+
"modules_to_save": [
|
17 |
+
"lin1"
|
18 |
+
],
|
19 |
+
"peft_type": "LORA",
|
20 |
+
"r": 8,
|
21 |
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"rank_pattern": {},
|
22 |
+
"revision": null,
|
23 |
+
"target_modules": [
|
24 |
+
"lin0"
|
25 |
+
],
|
26 |
+
"task_type": null
|
27 |
+
}
|
lora_mlp_modules_to_save/0.6.2/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
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+
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|
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size 1528
|
lora_mlp_modules_to_save/0.6.2/output.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:50bcd27616ca78b6a55df1f21901d25ff81b4bcc4b8633e9de5456be9e76ede2
|
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size 1239
|
lora_opt-350m/0.6.2/README.md
ADDED
@@ -0,0 +1,207 @@
|
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|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: facebook/opt-350m
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Shared by [optional]:** [More Information Needed]
|
22 |
+
- **Model type:** [More Information Needed]
|
23 |
+
- **Language(s) (NLP):** [More Information Needed]
|
24 |
+
- **License:** [More Information Needed]
|
25 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
26 |
+
|
27 |
+
### Model Sources [optional]
|
28 |
+
|
29 |
+
<!-- Provide the basic links for the model. -->
|
30 |
+
|
31 |
+
- **Repository:** [More Information Needed]
|
32 |
+
- **Paper [optional]:** [More Information Needed]
|
33 |
+
- **Demo [optional]:** [More Information Needed]
|
34 |
+
|
35 |
+
## Uses
|
36 |
+
|
37 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
38 |
+
|
39 |
+
### Direct Use
|
40 |
+
|
41 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
42 |
+
|
43 |
+
[More Information Needed]
|
44 |
+
|
45 |
+
### Downstream Use [optional]
|
46 |
+
|
47 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
48 |
+
|
49 |
+
[More Information Needed]
|
50 |
+
|
51 |
+
### Out-of-Scope Use
|
52 |
+
|
53 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
54 |
+
|
55 |
+
[More Information Needed]
|
56 |
+
|
57 |
+
## Bias, Risks, and Limitations
|
58 |
+
|
59 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
60 |
+
|
61 |
+
[More Information Needed]
|
62 |
+
|
63 |
+
### Recommendations
|
64 |
+
|
65 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
66 |
+
|
67 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
68 |
+
|
69 |
+
## How to Get Started with the Model
|
70 |
+
|
71 |
+
Use the code below to get started with the model.
|
72 |
+
|
73 |
+
[More Information Needed]
|
74 |
+
|
75 |
+
## Training Details
|
76 |
+
|
77 |
+
### Training Data
|
78 |
+
|
79 |
+
<!-- This should link to a Data 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. -->
|
80 |
+
|
81 |
+
[More Information Needed]
|
82 |
+
|
83 |
+
### Training Procedure
|
84 |
+
|
85 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
86 |
+
|
87 |
+
#### Preprocessing [optional]
|
88 |
+
|
89 |
+
[More Information Needed]
|
90 |
+
|
91 |
+
|
92 |
+
#### Training Hyperparameters
|
93 |
+
|
94 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
95 |
+
|
96 |
+
#### Speeds, Sizes, Times [optional]
|
97 |
+
|
98 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
99 |
+
|
100 |
+
[More Information Needed]
|
101 |
+
|
102 |
+
## Evaluation
|
103 |
+
|
104 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
105 |
+
|
106 |
+
### Testing Data, Factors & Metrics
|
107 |
+
|
108 |
+
#### Testing Data
|
109 |
+
|
110 |
+
<!-- This should link to a Data Card if possible. -->
|
111 |
+
|
112 |
+
[More Information Needed]
|
113 |
+
|
114 |
+
#### Factors
|
115 |
+
|
116 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
117 |
+
|
118 |
+
[More Information Needed]
|
119 |
+
|
120 |
+
#### Metrics
|
121 |
+
|
122 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
123 |
+
|
124 |
+
[More Information Needed]
|
125 |
+
|
126 |
+
### Results
|
127 |
+
|
128 |
+
[More Information Needed]
|
129 |
+
|
130 |
+
#### Summary
|
131 |
+
|
132 |
+
|
133 |
+
|
134 |
+
## Model Examination [optional]
|
135 |
+
|
136 |
+
<!-- Relevant interpretability work for the model goes here -->
|
137 |
+
|
138 |
+
[More Information Needed]
|
139 |
+
|
140 |
+
## Environmental Impact
|
141 |
+
|
142 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
143 |
+
|
144 |
+
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).
|
145 |
+
|
146 |
+
- **Hardware Type:** [More Information Needed]
|
147 |
+
- **Hours used:** [More Information Needed]
|
148 |
+
- **Cloud Provider:** [More Information Needed]
|
149 |
+
- **Compute Region:** [More Information Needed]
|
150 |
+
- **Carbon Emitted:** [More Information Needed]
|
151 |
+
|
152 |
+
## Technical Specifications [optional]
|
153 |
+
|
154 |
+
### Model Architecture and Objective
|
155 |
+
|
156 |
+
[More Information Needed]
|
157 |
+
|
158 |
+
### Compute Infrastructure
|
159 |
+
|
160 |
+
[More Information Needed]
|
161 |
+
|
162 |
+
#### Hardware
|
163 |
+
|
164 |
+
[More Information Needed]
|
165 |
+
|
166 |
+
#### Software
|
167 |
+
|
168 |
+
[More Information Needed]
|
169 |
+
|
170 |
+
## Citation [optional]
|
171 |
+
|
172 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
173 |
+
|
174 |
+
**BibTeX:**
|
175 |
+
|
176 |
+
[More Information Needed]
|
177 |
+
|
178 |
+
**APA:**
|
179 |
+
|
180 |
+
[More Information Needed]
|
181 |
+
|
182 |
+
## Glossary [optional]
|
183 |
+
|
184 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
185 |
+
|
186 |
+
[More Information Needed]
|
187 |
+
|
188 |
+
## More Information [optional]
|
189 |
+
|
190 |
+
[More Information Needed]
|
191 |
+
|
192 |
+
## Model Card Authors [optional]
|
193 |
+
|
194 |
+
[More Information Needed]
|
195 |
+
|
196 |
+
## Model Card Contact
|
197 |
+
|
198 |
+
[More Information Needed]
|
199 |
+
|
200 |
+
|
201 |
+
## Training procedure
|
202 |
+
|
203 |
+
|
204 |
+
### Framework versions
|
205 |
+
|
206 |
+
|
207 |
+
- PEFT 0.6.2
|
lora_opt-350m/0.6.2/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": {
|
4 |
+
"base_model_class": "OPTForCausalLM",
|
5 |
+
"parent_library": "transformers.models.opt.modeling_opt"
|
6 |
+
},
|
7 |
+
"base_model_name_or_path": "facebook/opt-350m",
|
8 |
+
"bias": "none",
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": false,
|
12 |
+
"layers_pattern": null,
|
13 |
+
"layers_to_transform": null,
|
14 |
+
"lora_alpha": 8,
|
15 |
+
"lora_dropout": 0.0,
|
16 |
+
"modules_to_save": null,
|
17 |
+
"peft_type": "LORA",
|
18 |
+
"r": 8,
|
19 |
+
"rank_pattern": {},
|
20 |
+
"revision": null,
|
21 |
+
"target_modules": [
|
22 |
+
"q_proj",
|
23 |
+
"v_proj"
|
24 |
+
],
|
25 |
+
"task_type": null
|
26 |
+
}
|
lora_opt-350m/0.6.2/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:82751e30bebc19cbfa01212631d08c7032fc3a75996dadf4da1d29298fdd736f
|
3 |
+
size 3159096
|
lora_opt-350m/0.6.2/output.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:788d8589a3e462ff482ff8926366f18b4bcf9c1d6af2bb1158eff483668645ef
|
3 |
+
size 1207639
|
lora_opt-350m_bnb_4bit/0.6.2/README.md
ADDED
@@ -0,0 +1,219 @@
|
|
|
|
|
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|
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|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: facebook/opt-350m
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Shared by [optional]:** [More Information Needed]
|
22 |
+
- **Model type:** [More Information Needed]
|
23 |
+
- **Language(s) (NLP):** [More Information Needed]
|
24 |
+
- **License:** [More Information Needed]
|
25 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
26 |
+
|
27 |
+
### Model Sources [optional]
|
28 |
+
|
29 |
+
<!-- Provide the basic links for the model. -->
|
30 |
+
|
31 |
+
- **Repository:** [More Information Needed]
|
32 |
+
- **Paper [optional]:** [More Information Needed]
|
33 |
+
- **Demo [optional]:** [More Information Needed]
|
34 |
+
|
35 |
+
## Uses
|
36 |
+
|
37 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
38 |
+
|
39 |
+
### Direct Use
|
40 |
+
|
41 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
42 |
+
|
43 |
+
[More Information Needed]
|
44 |
+
|
45 |
+
### Downstream Use [optional]
|
46 |
+
|
47 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
48 |
+
|
49 |
+
[More Information Needed]
|
50 |
+
|
51 |
+
### Out-of-Scope Use
|
52 |
+
|
53 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
54 |
+
|
55 |
+
[More Information Needed]
|
56 |
+
|
57 |
+
## Bias, Risks, and Limitations
|
58 |
+
|
59 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
60 |
+
|
61 |
+
[More Information Needed]
|
62 |
+
|
63 |
+
### Recommendations
|
64 |
+
|
65 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
66 |
+
|
67 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
68 |
+
|
69 |
+
## How to Get Started with the Model
|
70 |
+
|
71 |
+
Use the code below to get started with the model.
|
72 |
+
|
73 |
+
[More Information Needed]
|
74 |
+
|
75 |
+
## Training Details
|
76 |
+
|
77 |
+
### Training Data
|
78 |
+
|
79 |
+
<!-- This should link to a Data 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. -->
|
80 |
+
|
81 |
+
[More Information Needed]
|
82 |
+
|
83 |
+
### Training Procedure
|
84 |
+
|
85 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
86 |
+
|
87 |
+
#### Preprocessing [optional]
|
88 |
+
|
89 |
+
[More Information Needed]
|
90 |
+
|
91 |
+
|
92 |
+
#### Training Hyperparameters
|
93 |
+
|
94 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
95 |
+
|
96 |
+
#### Speeds, Sizes, Times [optional]
|
97 |
+
|
98 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
99 |
+
|
100 |
+
[More Information Needed]
|
101 |
+
|
102 |
+
## Evaluation
|
103 |
+
|
104 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
105 |
+
|
106 |
+
### Testing Data, Factors & Metrics
|
107 |
+
|
108 |
+
#### Testing Data
|
109 |
+
|
110 |
+
<!-- This should link to a Data Card if possible. -->
|
111 |
+
|
112 |
+
[More Information Needed]
|
113 |
+
|
114 |
+
#### Factors
|
115 |
+
|
116 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
117 |
+
|
118 |
+
[More Information Needed]
|
119 |
+
|
120 |
+
#### Metrics
|
121 |
+
|
122 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
123 |
+
|
124 |
+
[More Information Needed]
|
125 |
+
|
126 |
+
### Results
|
127 |
+
|
128 |
+
[More Information Needed]
|
129 |
+
|
130 |
+
#### Summary
|
131 |
+
|
132 |
+
|
133 |
+
|
134 |
+
## Model Examination [optional]
|
135 |
+
|
136 |
+
<!-- Relevant interpretability work for the model goes here -->
|
137 |
+
|
138 |
+
[More Information Needed]
|
139 |
+
|
140 |
+
## Environmental Impact
|
141 |
+
|
142 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
143 |
+
|
144 |
+
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).
|
145 |
+
|
146 |
+
- **Hardware Type:** [More Information Needed]
|
147 |
+
- **Hours used:** [More Information Needed]
|
148 |
+
- **Cloud Provider:** [More Information Needed]
|
149 |
+
- **Compute Region:** [More Information Needed]
|
150 |
+
- **Carbon Emitted:** [More Information Needed]
|
151 |
+
|
152 |
+
## Technical Specifications [optional]
|
153 |
+
|
154 |
+
### Model Architecture and Objective
|
155 |
+
|
156 |
+
[More Information Needed]
|
157 |
+
|
158 |
+
### Compute Infrastructure
|
159 |
+
|
160 |
+
[More Information Needed]
|
161 |
+
|
162 |
+
#### Hardware
|
163 |
+
|
164 |
+
[More Information Needed]
|
165 |
+
|
166 |
+
#### Software
|
167 |
+
|
168 |
+
[More Information Needed]
|
169 |
+
|
170 |
+
## Citation [optional]
|
171 |
+
|
172 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
173 |
+
|
174 |
+
**BibTeX:**
|
175 |
+
|
176 |
+
[More Information Needed]
|
177 |
+
|
178 |
+
**APA:**
|
179 |
+
|
180 |
+
[More Information Needed]
|
181 |
+
|
182 |
+
## Glossary [optional]
|
183 |
+
|
184 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
185 |
+
|
186 |
+
[More Information Needed]
|
187 |
+
|
188 |
+
## More Information [optional]
|
189 |
+
|
190 |
+
[More Information Needed]
|
191 |
+
|
192 |
+
## Model Card Authors [optional]
|
193 |
+
|
194 |
+
[More Information Needed]
|
195 |
+
|
196 |
+
## Model Card Contact
|
197 |
+
|
198 |
+
[More Information Needed]
|
199 |
+
|
200 |
+
|
201 |
+
## Training procedure
|
202 |
+
|
203 |
+
|
204 |
+
The following `bitsandbytes` quantization config was used during training:
|
205 |
+
- quant_method: bitsandbytes
|
206 |
+
- load_in_8bit: False
|
207 |
+
- load_in_4bit: True
|
208 |
+
- llm_int8_threshold: 6.0
|
209 |
+
- llm_int8_skip_modules: None
|
210 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
211 |
+
- llm_int8_has_fp16_weight: False
|
212 |
+
- bnb_4bit_quant_type: fp4
|
213 |
+
- bnb_4bit_use_double_quant: False
|
214 |
+
- bnb_4bit_compute_dtype: float32
|
215 |
+
|
216 |
+
### Framework versions
|
217 |
+
|
218 |
+
|
219 |
+
- PEFT 0.6.2
|
lora_opt-350m_bnb_4bit/0.6.2/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
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|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": {
|
4 |
+
"base_model_class": "OPTForCausalLM",
|
5 |
+
"parent_library": "transformers.models.opt.modeling_opt"
|
6 |
+
},
|
7 |
+
"base_model_name_or_path": "facebook/opt-350m",
|
8 |
+
"bias": "none",
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": false,
|
12 |
+
"layers_pattern": null,
|
13 |
+
"layers_to_transform": null,
|
14 |
+
"lora_alpha": 8,
|
15 |
+
"lora_dropout": 0.0,
|
16 |
+
"modules_to_save": null,
|
17 |
+
"peft_type": "LORA",
|
18 |
+
"r": 8,
|
19 |
+
"rank_pattern": {},
|
20 |
+
"revision": null,
|
21 |
+
"target_modules": [
|
22 |
+
"q_proj",
|
23 |
+
"v_proj"
|
24 |
+
],
|
25 |
+
"task_type": null
|
26 |
+
}
|
lora_opt-350m_bnb_4bit/0.6.2/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ece009e7ac28447a45cef4a37c5a4a0048b5a5b12261e37464fa762771b94a86
|
3 |
+
size 3159096
|
lora_opt-350m_bnb_4bit/0.6.2/output.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:00942ada33ef2fcbe9621268e1cce8c59aeeb71dd1c79101498d00c1881f07f5
|
3 |
+
size 1207639
|
lora_opt-350m_bnb_8bit/0.6.2/README.md
ADDED
@@ -0,0 +1,219 @@
|
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|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: facebook/opt-350m
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Shared by [optional]:** [More Information Needed]
|
22 |
+
- **Model type:** [More Information Needed]
|
23 |
+
- **Language(s) (NLP):** [More Information Needed]
|
24 |
+
- **License:** [More Information Needed]
|
25 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
26 |
+
|
27 |
+
### Model Sources [optional]
|
28 |
+
|
29 |
+
<!-- Provide the basic links for the model. -->
|
30 |
+
|
31 |
+
- **Repository:** [More Information Needed]
|
32 |
+
- **Paper [optional]:** [More Information Needed]
|
33 |
+
- **Demo [optional]:** [More Information Needed]
|
34 |
+
|
35 |
+
## Uses
|
36 |
+
|
37 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
38 |
+
|
39 |
+
### Direct Use
|
40 |
+
|
41 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
42 |
+
|
43 |
+
[More Information Needed]
|
44 |
+
|
45 |
+
### Downstream Use [optional]
|
46 |
+
|
47 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
48 |
+
|
49 |
+
[More Information Needed]
|
50 |
+
|
51 |
+
### Out-of-Scope Use
|
52 |
+
|
53 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
54 |
+
|
55 |
+
[More Information Needed]
|
56 |
+
|
57 |
+
## Bias, Risks, and Limitations
|
58 |
+
|
59 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
60 |
+
|
61 |
+
[More Information Needed]
|
62 |
+
|
63 |
+
### Recommendations
|
64 |
+
|
65 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
66 |
+
|
67 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
68 |
+
|
69 |
+
## How to Get Started with the Model
|
70 |
+
|
71 |
+
Use the code below to get started with the model.
|
72 |
+
|
73 |
+
[More Information Needed]
|
74 |
+
|
75 |
+
## Training Details
|
76 |
+
|
77 |
+
### Training Data
|
78 |
+
|
79 |
+
<!-- This should link to a Data 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. -->
|
80 |
+
|
81 |
+
[More Information Needed]
|
82 |
+
|
83 |
+
### Training Procedure
|
84 |
+
|
85 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
86 |
+
|
87 |
+
#### Preprocessing [optional]
|
88 |
+
|
89 |
+
[More Information Needed]
|
90 |
+
|
91 |
+
|
92 |
+
#### Training Hyperparameters
|
93 |
+
|
94 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
95 |
+
|
96 |
+
#### Speeds, Sizes, Times [optional]
|
97 |
+
|
98 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
99 |
+
|
100 |
+
[More Information Needed]
|
101 |
+
|
102 |
+
## Evaluation
|
103 |
+
|
104 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
105 |
+
|
106 |
+
### Testing Data, Factors & Metrics
|
107 |
+
|
108 |
+
#### Testing Data
|
109 |
+
|
110 |
+
<!-- This should link to a Data Card if possible. -->
|
111 |
+
|
112 |
+
[More Information Needed]
|
113 |
+
|
114 |
+
#### Factors
|
115 |
+
|
116 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
117 |
+
|
118 |
+
[More Information Needed]
|
119 |
+
|
120 |
+
#### Metrics
|
121 |
+
|
122 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
123 |
+
|
124 |
+
[More Information Needed]
|
125 |
+
|
126 |
+
### Results
|
127 |
+
|
128 |
+
[More Information Needed]
|
129 |
+
|
130 |
+
#### Summary
|
131 |
+
|
132 |
+
|
133 |
+
|
134 |
+
## Model Examination [optional]
|
135 |
+
|
136 |
+
<!-- Relevant interpretability work for the model goes here -->
|
137 |
+
|
138 |
+
[More Information Needed]
|
139 |
+
|
140 |
+
## Environmental Impact
|
141 |
+
|
142 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
143 |
+
|
144 |
+
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).
|
145 |
+
|
146 |
+
- **Hardware Type:** [More Information Needed]
|
147 |
+
- **Hours used:** [More Information Needed]
|
148 |
+
- **Cloud Provider:** [More Information Needed]
|
149 |
+
- **Compute Region:** [More Information Needed]
|
150 |
+
- **Carbon Emitted:** [More Information Needed]
|
151 |
+
|
152 |
+
## Technical Specifications [optional]
|
153 |
+
|
154 |
+
### Model Architecture and Objective
|
155 |
+
|
156 |
+
[More Information Needed]
|
157 |
+
|
158 |
+
### Compute Infrastructure
|
159 |
+
|
160 |
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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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+
|
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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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|
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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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|
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[More Information Needed]
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## Training procedure
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|
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|
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- load_in_8bit: True
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- load_in_4bit: False
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: fp4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float32
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### Framework versions
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- PEFT 0.6.2
|
lora_opt-350m_bnb_8bit/0.6.2/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
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{
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"alpha_pattern": {},
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+
"auto_mapping": {
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+
"base_model_class": "OPTForCausalLM",
|
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+
"parent_library": "transformers.models.opt.modeling_opt"
|
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+
},
|
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+
"base_model_name_or_path": "facebook/opt-350m",
|
8 |
+
"bias": "none",
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": false,
|
12 |
+
"layers_pattern": null,
|
13 |
+
"layers_to_transform": null,
|
14 |
+
"lora_alpha": 8,
|
15 |
+
"lora_dropout": 0.0,
|
16 |
+
"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"
|
24 |
+
],
|
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+
"task_type": null
|
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+
}
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