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qwen-code-naming

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qwen-code-naming

This model is a fine-tuned version of Qwen/Qwen1.5-0.5B-Chat on the generator 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: 3
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 6
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3

Training results

Framework versions

PEFT 0.7.2.dev0
Transformers 4.37.0
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.2

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Model tree for rd211/qwen-code-naming

Base model

Qwen/Qwen1.5-0.5B-Chat

Adapter

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Evaluation results

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