Upload folder using huggingface_hub
Browse files- LoRA/adapter_config.json +37 -0
- LoRA/adapter_model.safetensors +3 -0
- README.md +202 -0
- adapter_config.json +37 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +84 -0
- trainer_state.json +386 -0
- training_args.bin +3 -0
LoRA/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "llm-jp/llm-jp-3-13b",
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"bias": "none",
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_bias": false,
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"lora_dropout": 0.19645704545126425,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"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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"up_proj",
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"gate_proj",
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"v_proj",
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"k_proj",
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"o_proj",
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"q_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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LoRA/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:219e2bdfab365126b2d779e021ce962477c4ef3601bfc0564887e29cc8d8bf70
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size 125248064
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README.md
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---
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base_model: llm-jp/llm-jp-3-13b
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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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- **Funded by [optional]:** [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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41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
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[More Information Needed]
|
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+
|
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### Downstream Use [optional]
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+
|
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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[More Information Needed]
|
51 |
+
|
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+
### 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 |
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|
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[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 |
+
|
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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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|
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## How to Get Started with the Model
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|
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Use the code below to get started with the model.
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|
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[More Information Needed]
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|
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## Training Details
|
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|
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### Training Data
|
79 |
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|
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[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
|
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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|
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### Testing Data, Factors & Metrics
|
108 |
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109 |
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#### Testing Data
|
110 |
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111 |
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<!-- This should link to a Dataset Card if possible. -->
|
112 |
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[More Information Needed]
|
114 |
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#### Factors
|
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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[More Information Needed]
|
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#### Metrics
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122 |
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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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136 |
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|
137 |
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
|
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|
141 |
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## Environmental Impact
|
142 |
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|
143 |
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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 -->
|
144 |
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|
145 |
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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).
|
146 |
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|
147 |
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- **Hardware Type:** [More Information Needed]
|
148 |
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- **Hours used:** [More Information Needed]
|
149 |
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- **Cloud Provider:** [More Information Needed]
|
150 |
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- **Compute Region:** [More Information Needed]
|
151 |
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- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
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### Model Architecture and Objective
|
156 |
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|
157 |
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[More Information Needed]
|
158 |
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|
159 |
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### Compute Infrastructure
|
160 |
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|
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[More Information Needed]
|
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|
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#### Hardware
|
164 |
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|
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[More Information Needed]
|
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|
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#### Software
|
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|
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[More Information Needed]
|
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|
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## Citation [optional]
|
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 |
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|
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**BibTeX:**
|
176 |
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|
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[More Information Needed]
|
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|
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**APA:**
|
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|
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[More Information Needed]
|
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|
183 |
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## Glossary [optional]
|
184 |
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|
185 |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
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|
187 |
+
[More Information Needed]
|
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|
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## More Information [optional]
|
190 |
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|
191 |
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[More Information Needed]
|
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|
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## Model Card Authors [optional]
|
194 |
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|
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[More Information Needed]
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|
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## Model Card Contact
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|
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[More Information Needed]
|
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### Framework versions
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- PEFT 0.14.0
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adapter_config.json
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{
|
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"alpha_pattern": {},
|
3 |
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"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "models/models--llm-jp--llm-jp-3-13b/snapshots/cd3823f4c1fcbb0ad2e2af46036ab1b0ca13192a",
|
5 |
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"bias": "none",
|
6 |
+
"eva_config": null,
|
7 |
+
"exclude_modules": null,
|
8 |
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"fan_in_fan_out": false,
|
9 |
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"inference_mode": true,
|
10 |
+
"init_lora_weights": true,
|
11 |
+
"layer_replication": null,
|
12 |
+
"layers_pattern": null,
|
13 |
+
"layers_to_transform": null,
|
14 |
+
"loftq_config": {},
|
15 |
+
"lora_alpha": 16,
|
16 |
+
"lora_bias": false,
|
17 |
+
"lora_dropout": 0.19646,
|
18 |
+
"megatron_config": null,
|
19 |
+
"megatron_core": "megatron.core",
|
20 |
+
"modules_to_save": null,
|
21 |
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"peft_type": "LORA",
|
22 |
+
"r": 8,
|
23 |
+
"rank_pattern": {},
|
24 |
+
"revision": null,
|
25 |
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"target_modules": [
|
26 |
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"up_proj",
|
27 |
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"gate_proj",
|
28 |
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"v_proj",
|
29 |
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"k_proj",
|
30 |
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"o_proj",
|
31 |
+
"q_proj",
|
32 |
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"down_proj"
|
33 |
+
],
|
34 |
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"task_type": "CAUSAL_LM",
|
35 |
+
"use_dora": false,
|
36 |
+
"use_rslora": false
|
37 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:599aa9326bd3269013ea6e56717abc78246fce42cca0075d71cf040a10229b7c
|
3 |
+
size 125248064
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optimizer.pt
ADDED
@@ -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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oid sha256:c21a83304f18469dd4069b566e0534934b1b244414a34007073f772f16e4deb1
|
3 |
+
size 250819170
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rng_state.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:253cf091305f568cc2de519c350ed78aafea682a85dd09056739981fa73d2ed8
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size 14244
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scheduler.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:0e3d1e388843f1e6f4e9bcebb47eedbd4bdce8322074d063e596506084f1d783
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+
size 1064
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special_tokens_map.json
ADDED
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{
|
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"bos_token": {
|
3 |
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"content": "<s>",
|
4 |
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"lstrip": false,
|
5 |
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"normalized": false,
|
6 |
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"rstrip": false,
|
7 |
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"single_word": false
|
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},
|
9 |
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"cls_token": {
|
10 |
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"content": "<CLS|LLM-jp>",
|
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"lstrip": false,
|
12 |
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"normalized": false,
|
13 |
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"rstrip": false,
|
14 |
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"single_word": false
|
15 |
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},
|
16 |
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"eos_token": {
|
17 |
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"content": "</s>",
|
18 |
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"lstrip": false,
|
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"normalized": false,
|
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tokenizer.json
ADDED
The diff for this file is too large to render.
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|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,84 @@
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