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ahmedheakl_-_asm2asm-deepseek-1.3b-100k-x86-O0-4ep-arm-gnueabi-gcc-awq – AI Model by RichardErkhov | AlphaNeural AI
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ahmedheakl_-_asm2asm-deepseek-1.3b-100k-x86-O0-4ep-arm-gnueabi-gcc-awq
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asm2asm-deepseek-1.3b-100k-x86-O0-4ep-arm-gnueabi-gcc - AWQ
Model creator:
https://huggingface.co/ahmedheakl/
Original model:
https://huggingface.co/ahmedheakl/asm2asm-deepseek-1.3b-100k-x86-O0-4ep-arm-gnueabi-gcc/
Original model description:
library_name: transformers license: other base_model: deepseek-ai/deepseek-coder-1.3b-instruct tags:
trl
sft
generated_from_trainer model-index:
name: asm2asm-deepseek-1.3b-100k-x86-O0-4ep-arm-gnueabi-gcc results: []
asm2asm-deepseek-1.3b-100k-x86-O0-4ep-arm-gnueabi-gcc
This model is a fine-tuned version of
deepseek-ai/deepseek-coder-1.3b-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: 4
Training results
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu118
Datasets 3.0.0
Tokenizers 0.19.1
