Upload folder using huggingface_hub
Browse files- checkpoint-350/README.md +202 -0
- checkpoint-350/adapter_config.json +37 -0
- checkpoint-350/adapter_model.safetensors +3 -0
- checkpoint-350/optimizer.pt +3 -0
- checkpoint-350/rng_state.pth +3 -0
- checkpoint-350/scheduler.pt +3 -0
- checkpoint-350/trainer_state.json +2483 -0
- checkpoint-350/training_args.bin +3 -0
checkpoint-350/README.md
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| 1 |
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---
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| 2 |
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base_model: unsloth/gemma-2-27b-bnb-4bit
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| 3 |
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library_name: peft
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| 4 |
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---
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| 5 |
+
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| 6 |
+
# Model Card for Model ID
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| 7 |
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| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
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| 10 |
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| 11 |
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| 12 |
+
## Model Details
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| 13 |
+
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| 14 |
+
### Model Description
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| 15 |
+
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| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
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| 18 |
+
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| 19 |
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| 20 |
+
- **Developed by:** [More Information Needed]
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| 21 |
+
- **Funded by [optional]:** [More Information Needed]
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| 22 |
+
- **Shared by [optional]:** [More Information Needed]
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| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
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| 33 |
+
- **Paper [optional]:** [More Information Needed]
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| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
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| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
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|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
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|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
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| 75 |
+
|
| 76 |
+
## Training Details
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| 77 |
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|
| 78 |
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### Training Data
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| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
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| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
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| 88 |
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#### Preprocessing [optional]
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| 89 |
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| 90 |
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[More Information Needed]
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| 91 |
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| 92 |
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|
| 93 |
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#### Training Hyperparameters
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| 94 |
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|
| 95 |
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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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| 96 |
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| 97 |
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#### Speeds, Sizes, Times [optional]
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| 98 |
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| 99 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 100 |
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| 101 |
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[More Information Needed]
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| 102 |
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| 103 |
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## Evaluation
|
| 104 |
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| 105 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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| 106 |
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| 107 |
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### Testing Data, Factors & Metrics
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| 108 |
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| 109 |
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#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
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|
| 113 |
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[More Information Needed]
|
| 114 |
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|
| 115 |
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#### Factors
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| 116 |
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| 117 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
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| 119 |
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[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
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|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
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|
| 127 |
+
### Results
|
| 128 |
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| 129 |
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[More Information Needed]
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| 130 |
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|
| 131 |
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#### Summary
|
| 132 |
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| 133 |
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| 134 |
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|
| 135 |
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## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
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|
| 139 |
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[More Information Needed]
|
| 140 |
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|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
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### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
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[More Information Needed]
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| 158 |
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| 159 |
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### Compute Infrastructure
|
| 160 |
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| 161 |
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[More Information Needed]
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| 162 |
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| 163 |
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#### Hardware
|
| 164 |
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| 165 |
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[More Information Needed]
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| 166 |
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| 167 |
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#### Software
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| 168 |
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| 169 |
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[More Information Needed]
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| 170 |
+
|
| 171 |
+
## Citation [optional]
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| 172 |
+
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| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
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[More Information Needed]
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| 178 |
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| 179 |
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**APA:**
|
| 180 |
+
|
| 181 |
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[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
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[More Information Needed]
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| 188 |
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| 189 |
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## More Information [optional]
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| 190 |
+
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| 191 |
+
[More Information Needed]
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| 192 |
+
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| 193 |
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## Model Card Authors [optional]
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| 194 |
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| 195 |
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[More Information Needed]
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| 196 |
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| 197 |
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## Model Card Contact
|
| 198 |
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| 199 |
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[More Information Needed]
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| 200 |
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### Framework versions
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| 201 |
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|
| 202 |
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- PEFT 0.11.1
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checkpoint-350/adapter_config.json
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{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
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"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "unsloth/gemma-2-27b-bnb-4bit",
|
| 5 |
+
"bias": "none",
|
| 6 |
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"fan_in_fan_out": false,
|
| 7 |
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"inference_mode": true,
|
| 8 |
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"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
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"layers_to_transform": null,
|
| 12 |
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"loftq_config": {},
|
| 13 |
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"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
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"megatron_core": "megatron.core",
|
| 17 |
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"modules_to_save": [
|
| 18 |
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"lm_head",
|
| 19 |
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"embed_tokens"
|
| 20 |
+
],
|
| 21 |
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"peft_type": "LORA",
|
| 22 |
+
"r": 128,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": "unsloth",
|
| 25 |
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"target_modules": [
|
| 26 |
+
"up_proj",
|
| 27 |
+
"k_proj",
|
| 28 |
+
"gate_proj",
|
| 29 |
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"down_proj",
|
| 30 |
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"v_proj",
|
| 31 |
+
"q_proj",
|
| 32 |
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"o_proj"
|
| 33 |
+
],
|
| 34 |
+
"task_type": "CAUSAL_LM",
|
| 35 |
+
"use_dora": false,
|
| 36 |
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"use_rslora": true
|
| 37 |
+
}
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checkpoint-350/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:5374af87ef3246216ebe600b2d9b2bb42f2d8155390b2dc0adc76a190ac9e724
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| 3 |
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size 27247459432
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checkpoint-350/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9cd0b8335841b53d3ffe48f88b169de31252237147bd4babffcd8685e74d560b
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size 6559156728
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checkpoint-350/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb8e13a761d59b362762d6ee820fea31ce0b95fd5dc88a4c162745b069a81dba
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size 14244
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checkpoint-350/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a6738cb29024e32955cc738d2f159222d52d87eee8abf274c0245e1c3dae67ba
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size 1064
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checkpoint-350/trainer_state.json
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