Training in progress, step 200, checkpoint
Browse files- last-checkpoint/README.md +204 -0
- last-checkpoint/adapter_config.json +32 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +24 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer.model +3 -0
- last-checkpoint/tokenizer_config.json +41 -0
- last-checkpoint/trainer_state.json +1539 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
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| 1 |
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---
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library_name: peft
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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---
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| 5 |
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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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| 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 |
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- **Model type:** [More Information Needed]
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| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 25 |
+
- **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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### 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. -->
|
| 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 |
+
[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 |
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<!-- 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 |
+
[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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## 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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| 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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#### 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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| 108 |
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#### Testing Data
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| 110 |
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| 111 |
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<!-- This should link to a Dataset Card if possible. -->
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| 112 |
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| 113 |
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[More Information Needed]
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| 114 |
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| 115 |
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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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| 118 |
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| 119 |
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[More Information Needed]
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| 120 |
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| 121 |
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#### Metrics
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| 122 |
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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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| 124 |
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| 125 |
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[More Information Needed]
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| 126 |
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| 127 |
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### Results
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| 128 |
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| 129 |
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[More Information Needed]
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| 130 |
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#### Summary
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| 132 |
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| 133 |
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| 134 |
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| 135 |
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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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| 139 |
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[More Information Needed]
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| 140 |
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| 141 |
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## Environmental Impact
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| 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 -->
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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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| 155 |
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### Model Architecture and Objective
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| 156 |
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| 157 |
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[More Information Needed]
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| 158 |
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| 159 |
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### Compute Infrastructure
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| 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
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| 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 |
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| 171 |
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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 |
+
<!-- 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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| 188 |
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## More Information [optional]
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| 190 |
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| 191 |
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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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| 196 |
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## Model Card Contact
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| 198 |
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[More Information Needed]
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| 200 |
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| 202 |
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### Framework versions
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- PEFT 0.7.1
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last-checkpoint/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": "mistralai/Mistral-7B-Instruct-v0.2",
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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,
|
| 7 |
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"inference_mode": true,
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| 8 |
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"init_lora_weights": true,
|
| 9 |
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"layers_pattern": null,
|
| 10 |
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"layers_to_transform": null,
|
| 11 |
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"loftq_config": {},
|
| 12 |
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"lora_alpha": 32,
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| 13 |
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"lora_dropout": 0.1,
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| 14 |
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"megatron_config": null,
|
| 15 |
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"megatron_core": "megatron.core",
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| 16 |
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"modules_to_save": null,
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| 17 |
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"peft_type": "LORA",
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| 18 |
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"r": 128,
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| 19 |
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"rank_pattern": {},
|
| 20 |
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"revision": null,
|
| 21 |
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"target_modules": [
|
| 22 |
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"down_proj",
|
| 23 |
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"k_proj",
|
| 24 |
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"gate_proj",
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| 25 |
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"o_proj",
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| 26 |
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"up_proj",
|
| 27 |
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"lm_head",
|
| 28 |
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"v_proj",
|
| 29 |
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"q_proj"
|
| 30 |
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],
|
| 31 |
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"task_type": "CAUSAL_LM"
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| 32 |
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}
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last-checkpoint/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:b930ad9e77ff5a419d20977f27fae47f1696e39a0edadb6cc6df932eaed1d890
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| 3 |
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size 1885008480
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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:ef9a415e2286014d7f87e0947d21bbb60c6eb178cd3a4e5865f5976a88157b40
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| 3 |
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size 682197916
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last-checkpoint/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:29cfe9bb791136c4d3aa6cd394299eaad9fa893b84f46bdae8a93457d5e7c3d9
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size 14244
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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:c9fcfb362294a3a6492fb99ab4118f74cf0775f55fd447e13965b3fc76272700
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size 1064
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last-checkpoint/special_tokens_map.json
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{
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| 2 |
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"bos_token": {
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"content": "<s>",
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| 4 |
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"lstrip": false,
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| 5 |
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"normalized": false,
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| 6 |
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"rstrip": false,
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| 7 |
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"single_word": false
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},
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| 9 |
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"eos_token": {
|
| 10 |
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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| 15 |
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},
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"pad_token": "</s>",
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| 17 |
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"unk_token": {
|
| 18 |
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"content": "<unk>",
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| 19 |
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"lstrip": false,
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| 20 |
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"normalized": false,
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| 21 |
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"rstrip": false,
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| 22 |
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"single_word": false
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}
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}
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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.model
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+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
| 3 |
+
size 493443
|
last-checkpoint/tokenizer_config.json
ADDED
|
@@ -0,0 +1,41 @@
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<unk>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<s>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
"additional_special_tokens": [],
|
| 29 |
+
"bos_token": "<s>",
|
| 30 |
+
"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
|
| 31 |
+
"clean_up_tokenization_spaces": false,
|
| 32 |
+
"eos_token": "</s>",
|
| 33 |
+
"legacy": true,
|
| 34 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 35 |
+
"pad_token": "</s>",
|
| 36 |
+
"sp_model_kwargs": {},
|
| 37 |
+
"spaces_between_special_tokens": false,
|
| 38 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 39 |
+
"unk_token": "<unk>",
|
| 40 |
+
"use_default_system_prompt": false
|
| 41 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,1539 @@
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