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QwenTT – AI Model by stinkypoop | AlphaNeural AI

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stinkypoop/
QwenTT

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Qwen/Qwen1.5-0.5B-Chat

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QwenTT

This model is a fine-tuned version of Qwen/Qwen1.5-0.5B-Chat on the identity 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
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.11.1
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1