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unsup-c-s64-bs128-lr6 – AI Model by zxh4546 | AlphaNeural AI
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unsup-c-s64-bs128-lr6
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transformers
pytorch
pixel
text-classification
generated_from_trainer
unsup-c
apache-2.0
autotrain_compatible
endpoints_compatible
us
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contrastive-unsup-c-pixel-base-mean-64-128-1-3e-6-7600-42-eval
This model is a fine-tuned version of
Team-PIXEL/pixel-base
on the UNSUP-C 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: 3e-06
train_batch_size: 128
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 7600
Training results
Framework versions
Transformers 4.17.0
Pytorch 1.11.0
Datasets 2.14.7.dev0
Tokenizers 0.14.1