Instructions to use rovdetection/code-1b-aligned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rovdetection/code-1b-aligned with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rovdetection/code-1b-aligned", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500, checkpoint
Browse files- last-checkpoint/README.md +209 -0
- last-checkpoint/adapter_config.json +43 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state_0.pth +3 -0
- last-checkpoint/rng_state_1.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +13 -0
- last-checkpoint/trainer_state.json +934 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
ADDED
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| 1 |
+
---
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| 2 |
+
base_model: rovdetection/code-1b-pretrain
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| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
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| 5 |
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tags:
|
| 6 |
+
- base_model:adapter:rovdetection/code-1b-pretrain
|
| 7 |
+
- lora
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| 8 |
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- orpo
|
| 9 |
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- transformers
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| 10 |
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- trl
|
| 11 |
+
---
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| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
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| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
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| 16 |
+
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| 17 |
+
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| 18 |
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| 19 |
+
## Model Details
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| 20 |
+
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| 21 |
+
### Model Description
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| 22 |
+
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| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
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| 25 |
+
|
| 26 |
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| 27 |
+
- **Developed by:** [More Information Needed]
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| 28 |
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- **Funded by [optional]:** [More Information Needed]
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| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
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|
| 47 |
+
### Direct Use
|
| 48 |
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|
| 49 |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
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|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
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### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
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|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
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|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
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|
| 69 |
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[More Information Needed]
|
| 70 |
+
|
| 71 |
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### Recommendations
|
| 72 |
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|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
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|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
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|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
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|
| 79 |
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Use the code below to get started with the model.
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| 80 |
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| 81 |
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[More Information Needed]
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| 82 |
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|
| 83 |
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## Training Details
|
| 84 |
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|
| 85 |
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### Training Data
|
| 86 |
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|
| 87 |
+
<!-- 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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| 88 |
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| 89 |
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[More Information Needed]
|
| 90 |
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|
| 91 |
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### Training Procedure
|
| 92 |
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|
| 93 |
+
<!-- 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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| 94 |
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| 95 |
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#### Preprocessing [optional]
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| 96 |
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|
| 97 |
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[More Information Needed]
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| 98 |
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|
| 99 |
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|
| 100 |
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#### Training Hyperparameters
|
| 101 |
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|
| 102 |
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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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| 103 |
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|
| 104 |
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#### Speeds, Sizes, Times [optional]
|
| 105 |
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|
| 106 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 107 |
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|
| 108 |
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[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
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|
| 112 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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| 113 |
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| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
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|
| 116 |
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#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
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| 119 |
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|
| 120 |
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[More Information Needed]
|
| 121 |
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|
| 122 |
+
#### Factors
|
| 123 |
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|
| 124 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
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|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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| 131 |
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|
| 132 |
+
[More Information Needed]
|
| 133 |
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|
| 134 |
+
### Results
|
| 135 |
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| 136 |
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[More Information Needed]
|
| 137 |
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|
| 138 |
+
#### Summary
|
| 139 |
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|
| 140 |
+
|
| 141 |
+
|
| 142 |
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## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
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|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
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).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
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|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
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| 164 |
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[More Information Needed]
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| 165 |
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| 166 |
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### Compute Infrastructure
|
| 167 |
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| 168 |
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[More Information Needed]
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| 169 |
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| 170 |
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#### Hardware
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| 171 |
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| 172 |
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[More Information Needed]
|
| 173 |
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| 174 |
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#### Software
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| 175 |
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| 176 |
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[More Information Needed]
|
| 177 |
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|
| 178 |
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## Citation [optional]
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| 179 |
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|
| 180 |
+
<!-- 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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| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
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[More Information Needed]
|
| 185 |
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|
| 186 |
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**APA:**
|
| 187 |
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|
| 188 |
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[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
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|
| 194 |
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[More Information Needed]
|
| 195 |
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| 196 |
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## More Information [optional]
|
| 197 |
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|
| 198 |
+
[More Information Needed]
|
| 199 |
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|
| 200 |
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## Model Card Authors [optional]
|
| 201 |
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|
| 202 |
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[More Information Needed]
|
| 203 |
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|
| 204 |
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## Model Card Contact
|
| 205 |
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|
| 206 |
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[More Information Needed]
|
| 207 |
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### Framework versions
|
| 208 |
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|
| 209 |
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- PEFT 0.18.1
|
last-checkpoint/adapter_config.json
ADDED
|
@@ -0,0 +1,43 @@
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| 1 |
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{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "rovdetection/code-1b-pretrain",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
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"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
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"loftq_config": {},
|
| 19 |
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"lora_alpha": 64,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
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"megatron_core": "megatron.core",
|
| 24 |
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"modules_to_save": null,
|
| 25 |
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"peft_type": "LORA",
|
| 26 |
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"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
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"r": 32,
|
| 29 |
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"rank_pattern": {},
|
| 30 |
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"revision": null,
|
| 31 |
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"target_modules": [
|
| 32 |
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"q_proj",
|
| 33 |
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"v_proj",
|
| 34 |
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"k_proj",
|
| 35 |
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"o_proj"
|
| 36 |
+
],
|
| 37 |
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"target_parameters": null,
|
| 38 |
+
"task_type": "CAUSAL_LM",
|
| 39 |
+
"trainable_token_indices": null,
|
| 40 |
+
"use_dora": false,
|
| 41 |
+
"use_qalora": false,
|
| 42 |
+
"use_rslora": false
|
| 43 |
+
}
|
last-checkpoint/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:63b83a3b0d1966dbeaa680c7b48ea3084dcfdd7723cd03e2fa8c3a82a2000282
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| 3 |
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size 37768048
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last-checkpoint/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4396b970a44b47c1a9a22c56f77f032ab8256411d5d189c740733bd5fe51ec2d
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| 3 |
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size 19342155
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last-checkpoint/rng_state_0.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:4dd7671ce88d469c49c0530724ac76b2306574002d1ecd1ca9294e41621fd96a
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size 14917
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last-checkpoint/rng_state_1.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:3246ef1170ccca541a03b89ad6f20e01c51eb6834a2c2211c78c71c70f896879
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size 14917
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last-checkpoint/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:69d7ea6ea577c9cedefd5e57df9d9aeb50d4d890ac072c11fc7acb972685d578
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size 1465
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last-checkpoint/tokenizer.json
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The diff for this file is too large to render.
See raw diff
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last-checkpoint/tokenizer_config.json
ADDED
|
@@ -0,0 +1,13 @@
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| 1 |
+
{
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| 2 |
+
"add_prefix_space": false,
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| 3 |
+
"backend": "tokenizers",
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| 4 |
+
"bos_token": "<|endoftext|>",
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| 5 |
+
"eos_token": "<|endoftext|>",
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| 6 |
+
"errors": "replace",
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| 7 |
+
"is_local": false,
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| 8 |
+
"local_files_only": false,
|
| 9 |
+
"model_max_length": 1024,
|
| 10 |
+
"pad_token": "<|endoftext|>",
|
| 11 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 12 |
+
"unk_token": "<|endoftext|>"
|
| 13 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,934 @@
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| 919 |
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| 920 |
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| 921 |
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| 926 |
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| 934 |
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|
last-checkpoint/training_args.bin
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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| 2 |
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oid sha256:54efb2864949d275b143e3bc13e9d21c600c8a3309a7f6da6e99d0be9aa7dd0f
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| 3 |
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size 5521
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