Training in progress, step 150, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +33 -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 +30 -0
- last-checkpoint/tokenizer.json +3 -0
- last-checkpoint/tokenizer_config.json +48 -0
- last-checkpoint/trainer_state.json +146 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
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| 1 |
+
---
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base_model: bigscience/bloomz-560m
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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 |
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- **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 |
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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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### 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 |
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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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[More Information Needed]
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| 63 |
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| 64 |
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### Recommendations
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| 65 |
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| 66 |
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<!-- 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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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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| 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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| 110 |
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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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| 114 |
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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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| 119 |
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[More Information Needed]
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#### Metrics
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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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| 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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## 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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#### Software
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| 168 |
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[More Information Needed]
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| 170 |
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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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| 181 |
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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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| 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 |
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| 191 |
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[More Information Needed]
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| 192 |
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| 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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## Model Card Contact
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| 198 |
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[More Information Needed]
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### Framework versions
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- PEFT 0.13.2
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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": "bigscience/bloomz-560m",
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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,
|
| 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": 128,
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| 14 |
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"lora_dropout": 0.2,
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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": 64,
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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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"lm_head",
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| 24 |
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"word_embeddings",
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| 25 |
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"query_key_value",
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| 26 |
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"dense_h_to_4h",
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| 27 |
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"dense",
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| 28 |
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"dense_4h_to_h"
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| 29 |
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],
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| 30 |
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"task_type": "CAUSAL_LM",
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| 31 |
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"use_dora": false,
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| 32 |
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"use_rslora": false
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| 33 |
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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 sha256:910ddaa5e936a6c5e34ce28a645d80cd1b1ce8f6e8d29047c7116008059518b6
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| 3 |
+
size 2284875672
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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 sha256:5e28e9de171a1c00587b49ae2bc92bee865feee652550f824f5d979f7308d65a
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| 3 |
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size 459441914
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last-checkpoint/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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oid sha256:96b585c7a01d2f51b2d2d0e38601e66b526eaa7fdf3ea3a23cd5af83a96e1c57
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| 3 |
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size 14308
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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 sha256:85dac60a260dfa3637c98f20ab6a6549a858a48dc955579ef2d12e96eb0620d0
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size 1256
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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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| 3 |
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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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| 8 |
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},
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| 9 |
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"eos_token": {
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| 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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| 16 |
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"pad_token": {
|
| 17 |
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"content": "<pad>",
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"lstrip": false,
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| 19 |
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"normalized": false,
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| 20 |
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"rstrip": false,
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| 21 |
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"single_word": false
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| 22 |
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},
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| 23 |
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"unk_token": {
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| 24 |
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"content": "<unk>",
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| 25 |
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"lstrip": false,
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| 26 |
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"normalized": false,
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| 27 |
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"rstrip": false,
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| 28 |
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"single_word": false
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| 29 |
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}
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}
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last-checkpoint/tokenizer.json
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:d963066d6adae5034a1dc114c3ac444512de09928cf14ed4562ba94d9a440e66
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| 3 |
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size 21763085
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last-checkpoint/tokenizer_config.json
ADDED
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| 1 |
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{
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| 2 |
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"add_prefix_space": false,
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| 3 |
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"added_tokens_decoder": {
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| 4 |
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"0": {
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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"single_word": false,
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| 10 |
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"special": true
|
| 11 |
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},
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| 12 |
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"1": {
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| 13 |
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"content": "<s>",
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| 14 |
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"lstrip": false,
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| 15 |
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| 16 |
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| 17 |
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"single_word": false,
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| 18 |
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"special": true
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| 19 |
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| 20 |
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"2": {
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| 21 |
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"content": "</s>",
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| 22 |
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| 23 |
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"normalized": false,
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| 24 |
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"rstrip": false,
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| 25 |
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| 26 |
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"special": true
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| 27 |
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| 28 |
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"3": {
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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"single_word": false,
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| 34 |
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"special": true
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| 35 |
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| 36 |
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last-checkpoint/trainer_state.json
ADDED
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@@ -0,0 +1,146 @@
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last-checkpoint/training_args.bin
ADDED
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@@ -0,0 +1,3 @@
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|
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|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:707c86cf4fdd0646439a88306d68c5f5f607150b508e479a7e53f5fa4d44df2f
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size 5496
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