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Qwen1.5-7B-Chat_fictional_arc_challenge_Chinese_v2 – AI Model by yzhuang | AlphaNeural AI

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yzhuang/
Qwen1.5-7B-Chat_fictional_arc_challenge_Chinese_v2

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text-generation

generated_from_trainer

Qwen/Qwen1.5-7B-Chat

autotrain_compatible

text-generation-inference

endpoints_compatible

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Qwen1.5-7B-Chat_fictional_arc_challenge_Chinese_v2

This model is a fine-tuned version of Qwen/Qwen1.5-7B-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: 5e-05
train_batch_size: 1
eval_batch_size: 2
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
num_epochs: 128

Training results

Framework versions

Transformers 4.39.3
Pytorch 2.2.2
Datasets 2.18.0
Tokenizers 0.15.2