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ahmedheakl/asm2asm-deepseek-1.3b-500k-2ep-x86-O0-risc
Browse files- README.md +57 -0
- generation_config.json +6 -0
README.md
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---
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library_name: transformers
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license: other
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base_model: deepseek-ai/deepseek-coder-1.3b-instruct
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: asm2asm-deepseek-1.3b-500k-2ep-x86-O0-risc
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# asm2asm-deepseek-1.3b-500k-2ep-x86-O0-risc
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This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-instruct) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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- optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Training results
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### Framework versions
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- Transformers 4.46.0
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- Pytorch 2.4.0
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- Datasets 3.0.2
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- Tokenizers 0.20.1
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 32013,
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"eos_token_id": 32021,
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"transformers_version": "4.46.0"
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}
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