asm2asm-qwen2.5-1.5b-100k-float16-attn
This model is a fine-tuned version of Qwen/Qwen2.5-Coder-1.5B-Instruct on an unknown dataset.
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu118
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for ahmedheakl/asm2asm-qwen2.5-1.5b-100k-float16-attn
Base model
Qwen/Qwen2.5-1.5B
Finetuned
Qwen/Qwen2.5-Coder-1.5B
Finetuned
Qwen/Qwen2.5-Coder-1.5B-Instruct