Text Generation
PEFT
Safetensors
Arabic
qlora
arabic
poetry
classical-arabic-poetry
meter-conditioned-generation
Instructions to use Shaer-AI/Shaer-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Shaer-AI/Shaer-adapters with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Prune continuation checkpoints for train_20260407_231929
Browse files- checkpoints/fresh_sft/train/train_20260407_231929/checkpoint-600/README.md +0 -202
- checkpoints/fresh_sft/train/train_20260407_231929/checkpoint-600/adapter_config.json +0 -34
- checkpoints/fresh_sft/train/train_20260407_231929/checkpoint-600/adapter_model.safetensors +0 -3
- checkpoints/fresh_sft/train/train_20260407_231929/checkpoint-600/optimizer.pt +0 -3
- checkpoints/fresh_sft/train/train_20260407_231929/checkpoint-600/rng_state.pth +0 -3
- checkpoints/fresh_sft/train/train_20260407_231929/checkpoint-600/scheduler.pt +0 -3
- checkpoints/fresh_sft/train/train_20260407_231929/checkpoint-600/special_tokens_map.json +0 -30
- checkpoints/fresh_sft/train/train_20260407_231929/checkpoint-600/tokenizer.model +0 -3
- checkpoints/fresh_sft/train/train_20260407_231929/checkpoint-600/tokenizer_config.json +0 -205
- checkpoints/fresh_sft/train/train_20260407_231929/checkpoint-600/trainer_state.json +0 -487
- checkpoints/fresh_sft/train/train_20260407_231929/checkpoint-600/training_args.bin +0 -3
checkpoints/fresh_sft/train/train_20260407_231929/checkpoint-600/README.md
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---
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base_model: Navid-AI/Yehia-7B-preview
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library_name: peft
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---
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# Model Card for Model ID
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## Model Details
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### Model Description
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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- **Repository:** [More Information Needed]
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## Uses
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### Direct Use
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[More Information Needed]
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### Downstream Use [optional]
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[More Information Needed]
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### Out-of-Scope Use
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## Bias, Risks, and Limitations
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[More Information Needed]
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### Recommendations
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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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## 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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[More Information Needed]
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### 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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## Evaluation
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#### Testing Data
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[More Information Needed]
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#### Factors
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[More Information Needed]
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#### Metrics
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### Results
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#### Summary
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## Model Examination [optional]
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[More Information Needed]
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## Environmental Impact
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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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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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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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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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#### Hardware
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#### Software
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## Citation [optional]
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**BibTeX:**
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[More Information Needed]
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**APA:**
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## Glossary [optional]
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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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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.12.0
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checkpoints/fresh_sft/train/train_20260407_231929/checkpoint-600/adapter_config.json
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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": "Navid-AI/Yehia-7B-preview",
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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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"init_lora_weights": true,
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"layer_replication": null,
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"loftq_config": {},
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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}
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checkpoints/fresh_sft/train/train_20260407_231929/checkpoint-600/trainer_state.json
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checkpoints/fresh_sft/train/train_20260407_231929/checkpoint-600/training_args.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
-
oid sha256:0ca2554451a46c547b0b009cdd6a4e075ed15af7ced0c6efde00df4c8740b2e1
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| 3 |
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size 5713
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