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test-trainer – AI Model by xqchq | AlphaNeural AI
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xqchq
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test-trainer
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transformers
pytorch
tensorboard
onnx
bert
text-classification
generated_from_trainer
zh
seamew/THUCNewsText
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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test-trainer1
This model is a fine-tuned version of
hfl/minirbt-h256
on seamew/THUCNewsText 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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3