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README.md

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+---
+library_name: peft
+base_model: meta-llama/Meta-Llama-3-8B
+---
+
+# 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]
+### Framework versions
+
+- PEFT 0.7.1

adapter_config.json

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+{
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+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Meta-Llama-3-8B",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "up_proj",
+    "o_proj",
+    "q_proj",
+    "v_proj",
+    "gate_proj",
+    "k_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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+size 167832240

config.yaml

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optimizer.pt

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output.log

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+huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+/bin/bash: nvdia-smi: command not found
+huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+  adding: kaggle/working/ (stored 0%)
+  adding: kaggle/working/test.csv (deflated 81%)
+  adding: kaggle/working/trainer/ (stored 0%)
+  adding: kaggle/working/trainer/README.md (deflated 48%)
+  adding: kaggle/working/trainer/adapter_config.json (deflated 52%)
+  adding: kaggle/working/trainer/checkpoint-118/ (stored 0%)
+  adding: kaggle/working/trainer/checkpoint-118/rng_state.pth (deflated 25%)
+  adding: kaggle/working/trainer/checkpoint-118/optimizer.pt (deflated 16%)
+  adding: kaggle/working/trainer/checkpoint-118/README.md (deflated 66%)
+  adding: kaggle/working/trainer/checkpoint-118/scheduler.pt (deflated 56%)
+  adding: kaggle/working/trainer/checkpoint-118/adapter_config.json (deflated 52%)
+  adding: kaggle/working/trainer/checkpoint-118/training_args.bin (deflated 51%)
+  adding: kaggle/working/trainer/checkpoint-118/trainer_state.json (deflated 55%)
+  adding: kaggle/working/trainer/checkpoint-118/adapter_model.safetensors (deflated 8%)
+  adding: kaggle/working/trainer/checkpoint-472/ (stored 0%)
+  adding: kaggle/working/trainer/checkpoint-472/rng_state.pth (deflated 25%)
+  adding: kaggle/working/trainer/checkpoint-472/optimizer.pt (deflated 16%)
+  adding: kaggle/working/trainer/checkpoint-472/README.md (deflated 66%)
+  adding: kaggle/working/trainer/checkpoint-472/scheduler.pt (deflated 55%)
+  adding: kaggle/working/trainer/checkpoint-472/adapter_config.json (deflated 52%)
+  adding: kaggle/working/trainer/checkpoint-472/training_args.bin (deflated 51%)
+  adding: kaggle/working/trainer/checkpoint-472/trainer_state.json (deflated 71%)
+  adding: kaggle/working/trainer/checkpoint-472/adapter_model.safetensors (deflated 7%)
+  adding: kaggle/working/trainer/checkpoint-236/ (stored 0%)
+  adding: kaggle/working/trainer/checkpoint-236/rng_state.pth (deflated 25%)
+  adding: kaggle/working/trainer/checkpoint-236/optimizer.pt (deflated 16%)
+  adding: kaggle/working/trainer/checkpoint-236/README.md (deflated 66%)
+  adding: kaggle/working/trainer/checkpoint-236/scheduler.pt (deflated 56%)
+  adding: kaggle/working/trainer/checkpoint-236/adapter_config.json (deflated 52%)
+  adding: kaggle/working/trainer/checkpoint-236/training_args.bin (deflated 51%)
+  adding: kaggle/working/trainer/checkpoint-236/trainer_state.json (deflated 63%)
+  adding: kaggle/working/trainer/checkpoint-236/adapter_model.safetensors (deflated 7%)
+  adding: kaggle/working/trainer/training_args.bin (deflated 51%)
+  adding: kaggle/working/trainer/checkpoint-354/ (stored 0%)
+  adding: kaggle/working/trainer/checkpoint-354/rng_state.pth (deflated 25%)
+  adding: kaggle/working/trainer/checkpoint-354/optimizer.pt (deflated 16%)
+  adding: kaggle/working/trainer/checkpoint-354/README.md (deflated 66%)
+  adding: kaggle/working/trainer/checkpoint-354/scheduler.pt (deflated 55%)
+  adding: kaggle/working/trainer/checkpoint-354/adapter_config.json (deflated 52%)
+  adding: kaggle/working/trainer/checkpoint-354/training_args.bin (deflated 51%)
+  adding: kaggle/working/trainer/checkpoint-354/trainer_state.json (deflated 68%)
+  adding: kaggle/working/trainer/checkpoint-354/adapter_model.safetensors (deflated 7%)

requirements.txt

@@ -0,0 +1,862 @@
+Babel==2.14.0
+Boruta==0.3
+Brotli==1.0.9
+CVXcanon==0.1.2
+Cartopy==0.23.0
+Cython==3.0.8
+Deprecated==1.2.14
+Farama-Notifications==0.0.4
+Flask==3.0.3
+Geohash==1.0
+GitPython==3.1.41
+ImageHash==4.3.1
+Janome==0.5.0
+Jinja2==3.1.2
+LunarCalendar==0.0.9
+Mako==1.3.3
+Markdown==3.5.2
+MarkupSafe==2.1.3
+MarkupSafe==2.1.5
+Pillow==9.5.0
+PuLP==2.8.0
+PyArabic==0.6.15
+PyJWT==2.8.0
+PyMeeus==0.5.12
+PySocks==1.7.1
+PyUpSet==0.1.1.post7
+PyWavelets==1.5.0
+PyYAML==6.0.1
+Pygments==2.17.2
+Pympler==1.0.1
+QtPy==2.4.1
+Rtree==1.2.0
+SQLAlchemy==2.0.25
+SecretStorage==3.3.3
+Send2Trash==1.8.2
+Shapely==1.8.5.post1
+Shimmy==1.3.0
+SimpleITK==2.3.1
+TPOT==0.12.1
+Theano-PyMC==1.1.2
+Theano==1.0.5
+Wand==0.6.13
+Werkzeug==3.0.2
+absl-py==1.4.0
+accelerate==0.25.0
+access==1.1.9
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+aiobotocore==2.12.3
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+aiosqlite==0.19.0
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+annotated-types==0.6.0
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+aplus==0.11.0
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+attrs==23.2.0
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+certifi==2024.2.2
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