Training in progress, step 2200, checkpoint
Browse files- checkpoint-2200/README.md +202 -0
- checkpoint-2200/adapter_config.json +34 -0
- checkpoint-2200/adapter_model.safetensors +3 -0
- checkpoint-2200/optimizer.pt +3 -0
- checkpoint-2200/rng_state.pth +3 -0
- checkpoint-2200/scheduler.pt +3 -0
- checkpoint-2200/special_tokens_map.json +28 -0
- checkpoint-2200/tokenizer.json +3 -0
- checkpoint-2200/tokenizer_config.json +70 -0
- checkpoint-2200/trainer_state.json +363 -0
- checkpoint-2200/training_args.bin +3 -0
checkpoint-2200/README.md
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| 1 |
+
---
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base_model: unsloth/gemma-2-9b-bnb-4bit
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library_name: peft
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---
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| 5 |
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# Model Card for Model ID
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| 7 |
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<!-- Provide a quick summary of what the model is/does. -->
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| 9 |
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| 10 |
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+
## Model Details
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| 13 |
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+
### Model Description
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<!-- Provide a longer summary of what this model is. -->
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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- **Developed by:** [More Information Needed]
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| 21 |
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- **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]
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| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 25 |
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- **License:** [More Information Needed]
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| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
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| 27 |
+
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| 28 |
+
### Model Sources [optional]
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| 29 |
+
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| 30 |
+
<!-- Provide the basic links for the model. -->
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| 31 |
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| 32 |
+
- **Repository:** [More Information Needed]
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| 33 |
+
- **Paper [optional]:** [More Information Needed]
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| 34 |
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- **Demo [optional]:** [More Information Needed]
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| 35 |
+
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| 36 |
+
## Uses
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| 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. -->
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| 39 |
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| 40 |
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### Direct Use
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| 41 |
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| 42 |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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| 43 |
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| 44 |
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[More Information Needed]
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| 45 |
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| 46 |
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### Downstream Use [optional]
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| 47 |
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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 -->
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| 49 |
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| 50 |
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[More Information Needed]
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| 51 |
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| 52 |
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### Out-of-Scope Use
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| 53 |
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| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 55 |
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| 56 |
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[More Information Needed]
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| 57 |
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| 58 |
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## Bias, Risks, and Limitations
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| 59 |
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| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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| 61 |
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| 62 |
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[More Information Needed]
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| 63 |
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|
| 64 |
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### Recommendations
|
| 65 |
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| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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| 67 |
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| 68 |
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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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| 69 |
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|
| 70 |
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## How to Get Started with the Model
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| 71 |
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|
| 72 |
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Use the code below to get started with the model.
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| 73 |
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| 74 |
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[More Information Needed]
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| 76 |
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## Training Details
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| 77 |
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| 78 |
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### Training Data
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| 79 |
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| 80 |
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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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| 81 |
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| 82 |
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[More Information Needed]
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| 83 |
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|
| 84 |
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### Training Procedure
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| 85 |
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|
| 86 |
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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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| 94 |
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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
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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| 111 |
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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| 123 |
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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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| 128 |
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[More Information Needed]
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#### Summary
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| 132 |
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| 134 |
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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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| 138 |
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[More Information Needed]
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| 140 |
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## Environmental Impact
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| 142 |
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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 -->
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| 144 |
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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).
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| 146 |
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| 147 |
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- **Hardware Type:** [More Information Needed]
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| 148 |
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- **Hours used:** [More Information Needed]
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| 149 |
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- **Cloud Provider:** [More Information Needed]
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| 150 |
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- **Compute Region:** [More Information Needed]
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| 151 |
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- **Carbon Emitted:** [More Information Needed]
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| 152 |
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| 153 |
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## Technical Specifications [optional]
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| 154 |
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### Model Architecture and Objective
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| 156 |
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[More Information Needed]
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### Compute Infrastructure
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| 160 |
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[More Information Needed]
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| 162 |
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#### Hardware
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| 164 |
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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| 172 |
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| 173 |
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<!-- 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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| 174 |
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| 175 |
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**BibTeX:**
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| 176 |
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[More Information Needed]
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| 178 |
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| 179 |
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**APA:**
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| 180 |
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[More Information Needed]
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| 182 |
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| 183 |
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## Glossary [optional]
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| 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. -->
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| 186 |
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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| 192 |
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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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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.12.0
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checkpoint-2200/adapter_config.json
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{
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| 2 |
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": null,
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| 4 |
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"base_model_name_or_path": "unsloth/gemma-2-9b-bnb-4bit",
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| 5 |
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"bias": "none",
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| 6 |
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"fan_in_fan_out": false,
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| 7 |
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"inference_mode": true,
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| 8 |
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"init_lora_weights": true,
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| 9 |
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"layer_replication": null,
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| 10 |
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"layers_pattern": null,
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| 11 |
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"layers_to_transform": null,
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| 12 |
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"loftq_config": {},
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| 13 |
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"lora_alpha": 16,
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| 14 |
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"lora_dropout": 0,
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| 15 |
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"megatron_config": null,
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| 16 |
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"megatron_core": "megatron.core",
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| 17 |
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"modules_to_save": null,
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| 18 |
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"peft_type": "LORA",
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| 19 |
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"r": 16,
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| 20 |
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"rank_pattern": {},
|
| 21 |
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"revision": null,
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| 22 |
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"target_modules": [
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| 23 |
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"v_proj",
|
| 24 |
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"q_proj",
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| 25 |
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"up_proj",
|
| 26 |
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"o_proj",
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| 27 |
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"gate_proj",
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| 28 |
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"down_proj",
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| 29 |
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"k_proj"
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| 30 |
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],
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| 31 |
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"task_type": "CAUSAL_LM",
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| 32 |
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"use_dora": false,
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| 33 |
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"use_rslora": false
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| 34 |
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}
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checkpoint-2200/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:c1538a111da65a2873b5e2d150d1f3e6dd7cf6b8cffbf9700bce125972063d6d
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| 3 |
+
size 216151256
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checkpoint-2200/optimizer.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:4ea1fbe5915ed6d257e689a0623269937c4ab4b52387a8738c7131992b2d0501
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| 3 |
+
size 110437914
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checkpoint-2200/rng_state.pth
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:d4c917636c7a58af68a29056522a757e9f9b99005b776641aa157c536967817d
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| 3 |
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size 14244
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checkpoint-2200/scheduler.pt
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:f8a90fd006807e0c217c8d7427afd169ba13024c09bde6957c061b7df8af1470
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| 3 |
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size 1064
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checkpoint-2200/special_tokens_map.json
ADDED
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{
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| 2 |
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"additional_special_tokens": [
|
| 3 |
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"<|im_start|>",
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| 4 |
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"<|im_end|>"
|
| 5 |
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],
|
| 6 |
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"bos_token": "<eos>",
|
| 7 |
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"eos_token": {
|
| 8 |
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"content": "<eos>",
|
| 9 |
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"lstrip": false,
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| 10 |
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"normalized": false,
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| 11 |
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"rstrip": false,
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| 12 |
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"single_word": false
|
| 13 |
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},
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| 14 |
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"pad_token": {
|
| 15 |
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"content": "<pad>",
|
| 16 |
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"lstrip": false,
|
| 17 |
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"normalized": false,
|
| 18 |
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"rstrip": false,
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| 19 |
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"single_word": false
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| 20 |
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},
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| 21 |
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"unk_token": {
|
| 22 |
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"content": "<unk>",
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| 23 |
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"lstrip": false,
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| 24 |
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"normalized": false,
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| 25 |
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"rstrip": false,
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| 26 |
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"single_word": false
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| 27 |
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}
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| 28 |
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}
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checkpoint-2200/tokenizer.json
ADDED
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@@ -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 sha256:322a5f52ab5cab196761ab397a022d6fa3a2e1418585e532bb6efb2fedd2ae94
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| 3 |
+
size 17477501
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checkpoint-2200/tokenizer_config.json
ADDED
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@@ -0,0 +1,70 @@
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| 1 |
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{
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| 2 |
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"add_bos_token": false,
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| 3 |
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"add_eos_token": false,
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| 4 |
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"added_tokens_decoder": {
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| 5 |
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"0": {
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| 6 |
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"content": "<pad>",
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| 7 |
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"lstrip": false,
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| 8 |
+
"normalized": false,
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| 9 |
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"rstrip": false,
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| 10 |
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"single_word": false,
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| 11 |
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"special": true
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| 12 |
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},
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| 13 |
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"1": {
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| 14 |
+
"content": "<eos>",
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| 15 |
+
"lstrip": false,
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| 16 |
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"normalized": false,
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| 17 |
+
"rstrip": false,
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| 18 |
+
"single_word": false,
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| 19 |
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"special": true
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| 20 |
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},
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| 21 |
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"2": {
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| 22 |
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"content": "<bos>",
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| 23 |
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"lstrip": false,
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| 24 |
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"normalized": false,
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| 25 |
+
"rstrip": false,
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| 26 |
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"single_word": false,
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| 27 |
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"special": true
|
| 28 |
+
},
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| 29 |
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"3": {
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| 30 |
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"content": "<unk>",
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| 31 |
+
"lstrip": false,
|
| 32 |
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"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"106": {
|
| 38 |
+
"content": "<|im_start|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"107": {
|
| 46 |
+
"content": "<|im_end|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
}
|
| 53 |
+
},
|
| 54 |
+
"additional_special_tokens": [
|
| 55 |
+
"<|im_start|>",
|
| 56 |
+
"<|im_end|>"
|
| 57 |
+
],
|
| 58 |
+
"bos_token": "<eos>",
|
| 59 |
+
"chat_template": "{% if messages[0]['role'] == 'user' or messages[0]['role'] == 'system' %}{{ bos_token }}{% endif %}{% for message in messages %}{{ '<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n' }}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% elif messages[-1]['role'] == 'assistant' %}{{ eos_token }}{% endif %}",
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| 60 |
+
"clean_up_tokenization_spaces": false,
|
| 61 |
+
"eos_token": "<eos>",
|
| 62 |
+
"legacy": null,
|
| 63 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 64 |
+
"pad_token": "<pad>",
|
| 65 |
+
"sp_model_kwargs": {},
|
| 66 |
+
"spaces_between_special_tokens": false,
|
| 67 |
+
"tokenizer_class": "GemmaTokenizer",
|
| 68 |
+
"unk_token": "<unk>",
|
| 69 |
+
"use_default_system_prompt": false
|
| 70 |
+
}
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checkpoint-2200/trainer_state.json
ADDED
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@@ -0,0 +1,363 @@
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|
| 1 |
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{
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| 2 |
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"best_metric": null,
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| 3 |
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"best_model_checkpoint": null,
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| 4 |
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"epoch": 0.8756218905472637,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 2200,
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| 7 |
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"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
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| 9 |
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"is_world_process_zero": true,
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| 10 |
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"log_history": [
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| 11 |
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{
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| 12 |
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"epoch": 0.03980099502487562,
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"grad_norm": 9.524229049682617,
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"learning_rate": 4.980474401576887e-07,
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"logits/chosen": -0.1925463080406189,
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"logits/rejected": -0.15873177349567413,
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"logps/chosen": -239.6322021484375,
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"logps/rejected": -242.57594299316406,
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"loss": 0.8819,
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"rewards/accuracies": 0.49281251430511475,
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"rewards/chosen": -1.3072433471679688,
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"rewards/margins": 0.008615786209702492,
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"rewards/rejected": -1.315859079360962,
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"step": 100
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| 25 |
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},
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{
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"epoch": 0.07960199004975124,
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"grad_norm": 7.333236217498779,
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"learning_rate": 4.922202605502572e-07,
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"logits/chosen": 0.046361636370420456,
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"logits/rejected": 0.08236894011497498,
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"logps/chosen": -231.10765075683594,
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"logps/rejected": -233.24984741210938,
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},
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"learning_rate": 4.82609484512869e-07,
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"learning_rate": 4.5269439940365644e-07,
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"logps/rejected": -230.19451904296875,
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"loss": 0.7849,
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"rewards/accuracies": 0.4946874976158142,
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"rewards/chosen": -0.7644023299217224,
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"rewards/margins": -0.004693666007369757,
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"rewards/rejected": -0.7597086429595947,
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"step": 500
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| 85 |
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},
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{
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"epoch": 0.23880597014925373,
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"grad_norm": 7.143113136291504,
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"learning_rate": 4.328573782827409e-07,
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"step": 600
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