metadata

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-arm-gnueabi-gcc
    results: []

asm2asm-deepseek-1.3b-100k-x86-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: 1

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu118
Datasets 3.0.0
Tokenizers 0.19.1