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asm2asm-qwen2.5-1.5b-1k-float16-attn – AI Model by ahmedheakl | AlphaNeural AI

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ahmedheakl/
asm2asm-qwen2.5-1.5b-1k-float16-attn

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text-generation

generated_from_trainer

Qwen/Qwen2.5-Coder-1.5B-Instruct

autotrain_compatible

text-generation-inference

endpoints_compatible

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asm2asm-qwen2.5-1.5b-1k-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