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bertweet-base-SNS_BRANDS_200k – AI Model by haji2438 | AlphaNeural AI
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haji2438
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bertweet-base-SNS_BRANDS_200k
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transformers
pytorch
tensorboard
roberta
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
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bertweet-base-SNS_BRANDS_200k
This model is a fine-tuned version of
vinai/bertweet-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0243
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: 2e-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
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.0428
1.0
5882
0.0336
0.0276
2.0
11764
0.0241
0.0251
3.0
17646
0.0243
Framework versions
Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.18.0
Tokenizers 0.10.3
