Upload model

README.md

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+---
+library_name: peft
+base_model: google/pix2struct-docvqa-base
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure 
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+
+
+## Training procedure
+
+
+### Framework versions
+
+
+- PEFT 0.6.2

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "Pix2StructForConditionalGeneration",
+    "parent_library": "transformers.models.pix2struct.modeling_pix2struct"
+  },
+  "base_model_name_or_path": "google/pix2struct-docvqa-base",
+  "bias": "lora_only",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 8,
+  "lora_dropout": 0.1,
+  "modules_to_save": [],
+  "peft_type": "LORA",
+  "r": 4,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "decoder.layer.2.self_attention.attention.value",
+    "decoder.layer.5.self_attention.attention.key",
+    "decoder.layer.9.encoder_decoder_attention.attention.query",
+    "decoder.layer.11.encoder_decoder_attention.attention.key",
+    "encoder.encoder.layer.11.attention.query",
+    "decoder.layer.2.self_attention.attention.query",
+    "decoder.layer.4.self_attention.attention.value",
+    "decoder.layer.11.self_attention.attention.query",
+    "decoder.layer.10.encoder_decoder_attention.attention.key",
+    "decoder.layer.8.self_attention.attention.value",
+    "encoder.encoder.layer.5.attention.query",
+    "decoder.layer.3.encoder_decoder_attention.attention.query",
+    "decoder.layer.11.self_attention.attention.key",
+    "decoder.layer.0.self_attention.attention.query",
+    "decoder.layer.3.encoder_decoder_attention.attention.value",
+    "decoder.layer.4.encoder_decoder_attention.attention.key",
+    "decoder.layer.7.self_attention.attention.key",
+    "encoder.encoder.layer.0.attention.value",
+    "encoder.encoder.layer.2.attention.value",
+    "decoder.layer.6.self_attention.attention.value",
+    "decoder.layer.6.self_attention.attention.query",
+    "decoder.layer.9.self_attention.attention.key",
+    "encoder.encoder.layer.3.attention.query",
+    "encoder.encoder.layer.2.attention.key",
+    "encoder.encoder.layer.7.attention.query",
+    "decoder.layer.9.encoder_decoder_attention.attention.value",
+    "decoder.layer.7.encoder_decoder_attention.attention.value",
+    "decoder.layer.4.self_attention.attention.query",
+    "encoder.encoder.layer.8.attention.key",
+    "decoder.layer.1.encoder_decoder_attention.attention.value",
+    "encoder.encoder.layer.0.attention.query",
+    "decoder.layer.8.encoder_decoder_attention.attention.query",
+    "decoder.layer.11.encoder_decoder_attention.attention.value",
+    "encoder.encoder.layer.9.attention.key",
+    "encoder.encoder.layer.9.attention.value",
+    "decoder.layer.1.self_attention.attention.key",
+    "decoder.layer.1.encoder_decoder_attention.attention.query",
+    "decoder.layer.10.self_attention.attention.query",
+    "encoder.encoder.layer.6.attention.value",
+    "decoder.layer.8.self_attention.attention.query",
+    "encoder.encoder.layer.8.attention.query",
+    "decoder.layer.3.self_attention.attention.key",
+    "decoder.layer.3.encoder_decoder_attention.attention.key",
+    "decoder.layer.6.encoder_decoder_attention.attention.key",
+    "decoder.layer.11.self_attention.attention.value",
+    "decoder.layer.2.encoder_decoder_attention.attention.query",
+    "encoder.encoder.layer.6.attention.key",
+    "decoder.layer.4.encoder_decoder_attention.attention.value",
+    "decoder.layer.1.self_attention.attention.query",
+    "decoder.layer.3.self_attention.attention.value",
+    "decoder.layer.6.encoder_decoder_attention.attention.query",
+    "encoder.encoder.layer.10.attention.query",
+    "encoder.encoder.layer.10.attention.value",
+    "decoder.layer.2.self_attention.attention.key",
+    "decoder.layer.0.self_attention.attention.key",
+    "encoder.encoder.layer.0.attention.key",
+    "decoder.layer.0.encoder_decoder_attention.attention.value",
+    "decoder.layer.0.encoder_decoder_attention.attention.query",
+    "encoder.encoder.layer.1.attention.query",
+    "decoder.layer.8.encoder_decoder_attention.attention.key",
+    "decoder.layer.9.self_attention.attention.value",
+    "decoder.layer.5.encoder_decoder_attention.attention.query",
+    "decoder.layer.8.self_attention.attention.key",
+    "encoder.encoder.layer.7.attention.value",
+    "decoder.layer.5.self_attention.attention.value",
+    "encoder.encoder.layer.4.attention.value",
+    "encoder.encoder.layer.5.attention.key",
+    "encoder.encoder.layer.8.attention.value",
+    "decoder.layer.5.self_attention.attention.query",
+    "decoder.layer.3.self_attention.attention.query",
+    "encoder.encoder.layer.3.attention.value",
+    "encoder.encoder.layer.2.attention.query",
+    "decoder.layer.5.encoder_decoder_attention.attention.key",
+    "encoder.encoder.layer.10.attention.key",
+    "decoder.layer.7.self_attention.attention.value",
+    "decoder.layer.9.encoder_decoder_attention.attention.key",
+    "decoder.layer.0.encoder_decoder_attention.attention.key",
+    "encoder.encoder.layer.9.attention.query",
+    "encoder.encoder.layer.1.attention.key",
+    "decoder.layer.5.encoder_decoder_attention.attention.value",
+    "decoder.layer.7.encoder_decoder_attention.attention.query",
+    "decoder.layer.2.encoder_decoder_attention.attention.value",
+    "encoder.encoder.layer.5.attention.value",
+    "decoder.layer.10.encoder_decoder_attention.attention.query",
+    "decoder.layer.0.self_attention.attention.value",
+    "encoder.encoder.layer.7.attention.key",
+    "encoder.encoder.layer.3.attention.key",
+    "encoder.encoder.layer.4.attention.key",
+    "decoder.layer.7.encoder_decoder_attention.attention.key",
+    "decoder.layer.10.self_attention.attention.key",
+    "encoder.encoder.layer.11.attention.key",
+    "encoder.encoder.layer.4.attention.query",
+    "decoder.layer.6.encoder_decoder_attention.attention.value",
+    "decoder.layer.10.self_attention.attention.value",
+    "decoder.layer.1.self_attention.attention.value",
+    "decoder.layer.4.self_attention.attention.key",
+    "decoder.layer.2.encoder_decoder_attention.attention.key",
+    "encoder.encoder.layer.6.attention.query",
+    "decoder.layer.9.self_attention.attention.query",
+    "decoder.layer.10.encoder_decoder_attention.attention.value",
+    "encoder.encoder.layer.11.attention.value",
+    "decoder.layer.6.self_attention.attention.key",
+    "encoder.encoder.layer.1.attention.value",
+    "decoder.layer.4.encoder_decoder_attention.attention.query",
+    "decoder.layer.7.self_attention.attention.query",
+    "decoder.layer.1.encoder_decoder_attention.attention.key",
+    "decoder.layer.8.encoder_decoder_attention.attention.value",
+    "decoder.layer.11.encoder_decoder_attention.attention.query"
+  ],
+  "task_type": null
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fb80cdddaeefd1f344f7a508e8a597ce1d8dde657273ef5e689b9b808817c378
+size 2685568