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Qwen1.5-7B-Chat-v0.1_fictional_mathqa_German_v2 – AI Model by yzhuang | AlphaNeural AI
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yzhuang
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Qwen1.5-7B-Chat-v0.1_fictional_mathqa_German_v2
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transformers
tensorboard
safetensors
qwen2
text-generation
trl
sft
generated_from_trainer
conversational
generator
Qwen/Qwen1.5-7B-Chat
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Qwen1.5-7B-Chat-v0.1_fictional_mathqa_German_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: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 36
Training results
Framework versions
Transformers 4.39.3
Pytorch 2.2.2
Datasets 2.18.0
Tokenizers 0.15.2
