Training in progress, step 25, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +34 -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 +35 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer.model +3 -0
- last-checkpoint/tokenizer_config.json +48 -0
- last-checkpoint/trainer_state.json +224 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
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| 1 |
+
---
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base_model: NousResearch/Yarn-Mistral-7b-64k
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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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| 8 |
+
<!-- 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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| 15 |
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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 |
+
- **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 |
+
- **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. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
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| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
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| 36 |
+
## Uses
|
| 37 |
+
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| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
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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 |
+
[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 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
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|
| 50 |
+
[More Information Needed]
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| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
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|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
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|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## 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. -->
|
| 61 |
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| 62 |
+
[More Information Needed]
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| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 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 |
+
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 |
+
|
| 70 |
+
## 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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| 75 |
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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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| 87 |
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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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| 92 |
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|
| 93 |
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#### Training Hyperparameters
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| 94 |
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|
| 95 |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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| 96 |
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| 97 |
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#### Speeds, Sizes, Times [optional]
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<!-- 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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| 109 |
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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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| 116 |
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| 117 |
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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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| 131 |
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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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| 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).
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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 |
+
<!-- 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 |
+
|
| 175 |
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**BibTeX:**
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| 176 |
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| 177 |
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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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| 181 |
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[More Information Needed]
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| 182 |
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|
| 183 |
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## Glossary [optional]
|
| 184 |
+
|
| 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 |
+
|
| 187 |
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[More Information Needed]
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| 188 |
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## More Information [optional]
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| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
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## Model Card Authors [optional]
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| 194 |
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| 195 |
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[More Information Needed]
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| 196 |
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| 197 |
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## Model Card Contact
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| 198 |
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| 199 |
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[More Information Needed]
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| 200 |
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### Framework versions
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| 201 |
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| 202 |
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- PEFT 0.13.2
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last-checkpoint/adapter_config.json
ADDED
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@@ -0,0 +1,34 @@
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{
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| 2 |
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"alpha_pattern": {},
|
| 3 |
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"auto_mapping": null,
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| 4 |
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"base_model_name_or_path": "NousResearch/Yarn-Mistral-7b-64k",
|
| 5 |
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"bias": "none",
|
| 6 |
+
"fan_in_fan_out": null,
|
| 7 |
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"inference_mode": true,
|
| 8 |
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"init_lora_weights": true,
|
| 9 |
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"layer_replication": null,
|
| 10 |
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"layers_pattern": null,
|
| 11 |
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"layers_to_transform": null,
|
| 12 |
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"loftq_config": {},
|
| 13 |
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"lora_alpha": 64,
|
| 14 |
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"lora_dropout": 0.05,
|
| 15 |
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"megatron_config": null,
|
| 16 |
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"megatron_core": "megatron.core",
|
| 17 |
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"modules_to_save": null,
|
| 18 |
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"peft_type": "LORA",
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| 19 |
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"r": 32,
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| 20 |
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"rank_pattern": {},
|
| 21 |
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"revision": null,
|
| 22 |
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"target_modules": [
|
| 23 |
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"v_proj",
|
| 24 |
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"o_proj",
|
| 25 |
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"k_proj",
|
| 26 |
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"q_proj",
|
| 27 |
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"up_proj",
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| 28 |
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"gate_proj",
|
| 29 |
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"down_proj"
|
| 30 |
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],
|
| 31 |
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"task_type": "CAUSAL_LM",
|
| 32 |
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"use_dora": false,
|
| 33 |
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"use_rslora": false
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| 34 |
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}
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last-checkpoint/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:7a69dfbd7c9a95bc0e05104316171d92aa85852a5697854f724cfb6457b0fffb
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| 3 |
+
size 335604696
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last-checkpoint/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 sha256:5b6ebf847d014b5c8682a543c097ff2c29d51b13b16a0438f76c35589113b922
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| 3 |
+
size 671466706
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last-checkpoint/rng_state.pth
ADDED
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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 sha256:178b84343496ad00d466b9a39e26c2eba6530184d28e2aca90c5f964765fa959
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| 3 |
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size 14244
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last-checkpoint/scheduler.pt
ADDED
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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 sha256:99fc9c0ec571f76cf9b6d1229601c5173899cd18104e487c5627f5f4c56c6e8a
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| 3 |
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size 1064
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last-checkpoint/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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"<unk>",
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| 4 |
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"<s>",
|
| 5 |
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"</s>"
|
| 6 |
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],
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| 7 |
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"bos_token": {
|
| 8 |
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"content": "<s>",
|
| 9 |
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"lstrip": false,
|
| 10 |
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"normalized": false,
|
| 11 |
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"rstrip": false,
|
| 12 |
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"single_word": false
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| 13 |
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},
|
| 14 |
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"eos_token": {
|
| 15 |
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"content": "</s>",
|
| 16 |
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"lstrip": false,
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| 17 |
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"normalized": false,
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| 18 |
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"rstrip": false,
|
| 19 |
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"single_word": false
|
| 20 |
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},
|
| 21 |
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"pad_token": {
|
| 22 |
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"content": "</s>",
|
| 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 |
+
"single_word": false
|
| 27 |
+
},
|
| 28 |
+
"unk_token": {
|
| 29 |
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"content": "<unk>",
|
| 30 |
+
"lstrip": false,
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| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false
|
| 34 |
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}
|
| 35 |
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}
|
last-checkpoint/tokenizer.json
ADDED
|
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last-checkpoint/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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| 3 |
+
size 493443
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last-checkpoint/tokenizer_config.json
ADDED
|
@@ -0,0 +1,48 @@
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| 1 |
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{
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| 2 |
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"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
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"add_prefix_space": null,
|
| 5 |
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"added_tokens_decoder": {
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| 6 |
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"0": {
|
| 7 |
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"content": "<unk>",
|
| 8 |
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"lstrip": false,
|
| 9 |
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"normalized": false,
|
| 10 |
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"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
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"1": {
|
| 15 |
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"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
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"normalized": false,
|
| 18 |
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"rstrip": false,
|
| 19 |
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"single_word": false,
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| 20 |
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"special": true
|
| 21 |
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},
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| 22 |
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"2": {
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| 23 |
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"content": "</s>",
|
| 24 |
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"lstrip": false,
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| 25 |
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"normalized": false,
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| 26 |
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"rstrip": false,
|
| 27 |
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"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
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"additional_special_tokens": [
|
| 32 |
+
"<unk>",
|
| 33 |
+
"<s>",
|
| 34 |
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"</s>"
|
| 35 |
+
],
|
| 36 |
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"bos_token": "<s>",
|
| 37 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "</s>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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| 46 |
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"unk_token": "<unk>",
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| 47 |
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"use_default_system_prompt": true
|
| 48 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,224 @@
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{
|
| 195 |
+
"epoch": 0.0025910763331087735,
|
| 196 |
+
"eval_loss": 0.10315833985805511,
|
| 197 |
+
"eval_runtime": 1540.5199,
|
| 198 |
+
"eval_samples_per_second": 5.275,
|
| 199 |
+
"eval_steps_per_second": 2.637,
|
| 200 |
+
"step": 25
|
| 201 |
+
}
|
| 202 |
+
],
|
| 203 |
+
"logging_steps": 1,
|
| 204 |
+
"max_steps": 75,
|
| 205 |
+
"num_input_tokens_seen": 0,
|
| 206 |
+
"num_train_epochs": 1,
|
| 207 |
+
"save_steps": 25,
|
| 208 |
+
"stateful_callbacks": {
|
| 209 |
+
"TrainerControl": {
|
| 210 |
+
"args": {
|
| 211 |
+
"should_epoch_stop": false,
|
| 212 |
+
"should_evaluate": false,
|
| 213 |
+
"should_log": false,
|
| 214 |
+
"should_save": true,
|
| 215 |
+
"should_training_stop": false
|
| 216 |
+
},
|
| 217 |
+
"attributes": {}
|
| 218 |
+
}
|
| 219 |
+
},
|
| 220 |
+
"total_flos": 3.90757098675241e+16,
|
| 221 |
+
"train_batch_size": 2,
|
| 222 |
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"trial_name": null,
|
| 223 |
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"trial_params": null
|
| 224 |
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}
|
last-checkpoint/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c83552d88443f9d80afde91dcae4abccad8c3accc477f591b59afc7197d28220
|
| 3 |
+
size 6840
|