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ex22
ahmedheakl/ex22
ex22 is a text generation model from ahmedheakl. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Feb 22, 2025
- Updated
- Feb 26, 2025
- SHA
- a260630c
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
ex22
This model is a fine-tuned version of Qwen/Qwen2.5-Coder-0.5B-Instruct on the x86_opt_0, the x86_opt_1 and the x86_opt_2 datasets. It achieves the following results on the evaluation set:
- Loss: 0.0065
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- total_eval_batch_size: 2
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0142 | 0.9361 | 61000 | 0.0092 |
| 0.005 | 1.8722 | 122000 | 0.0065 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- License
- apache-2.0
- Created
- Feb 22, 2025
- Updated
- Feb 26, 2025