Training in progress, epoch 1, checkpoint
Browse files- last-checkpoint/README.md +200 -1
- last-checkpoint/adapter_config.json +3 -1
- 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/trainer_state.json +1310 -140
- last-checkpoint/training_args.bin +2 -2
last-checkpoint/README.md
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---
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library_name: peft
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---
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| 4 |
## Training procedure
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### Framework versions
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- PEFT 0.
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---
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library_name: peft
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base_model: moussaKam/AraBART
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---
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+
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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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### Model Description
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+
<!-- Provide a longer summary of what this model is. -->
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| 19 |
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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 |
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- **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. -->
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| 43 |
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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 |
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<!-- 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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| 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 |
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<!-- 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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### Recommendations
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| 65 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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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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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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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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+
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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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- **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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| 112 |
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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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[More Information Needed]
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| 120 |
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#### Metrics
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| 122 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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| 128 |
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[More Information Needed]
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| 130 |
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#### Summary
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| 132 |
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## Model Examination [optional]
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| 136 |
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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| 140 |
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## Environmental Impact
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| 142 |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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| 144 |
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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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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## Technical Specifications [optional]
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| 154 |
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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| 160 |
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[More Information Needed]
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| 162 |
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#### Hardware
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| 164 |
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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| 172 |
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<!-- 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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**BibTeX:**
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| 176 |
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[More Information Needed]
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| 178 |
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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| 184 |
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| 185 |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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## Training procedure
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### Framework versions
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- PEFT 0.6.2
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last-checkpoint/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path":
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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"k_proj",
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": null,
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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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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oid sha256:7935188532ca057c97e35d2ac25f19e5fae4cf310316411033753c2aedac4f4f
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size 2671008
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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 sha256:466f7b6852211bc4dc3e6a84306a602d73d2cbae547dc06726b7afc040129e28
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size 5399290
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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 sha256:44d78c7a5b58042ac25fc7da4ea65482e30dd6f8da26fca722f9c52e7f8076c1
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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 sha256:1a9689c060fa18f4a65213217a79366f663c930ab5ba6ad66745c2e7b18c5a2f
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size 1064
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last-checkpoint/trainer_state.json
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{
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"best_metric":
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"best_model_checkpoint":
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"epoch":
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"eval_steps":
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"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.
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"learning_rate":
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"loss": 2.
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"step": 50
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},
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{
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"epoch": 0.
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"learning_rate":
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"loss":
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"step": 100
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},
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{
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"epoch": 0.
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"learning_rate":
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"loss":
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last-checkpoint/training_args.bin
CHANGED
|
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:
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| 3 |
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size
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|
| 1 |
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size 4600
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