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kjc – AI Model by littledonke | AlphaNeural AI

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littledonke/
kjc

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train_2024-08-31-14-53-56

This model is a fine-tuned version of Qwen/Qwen-1_8B on the kejichu_zh_demo 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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3.0

Training results

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.2.2
Datasets 2.21.0
Tokenizers 0.19.1