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BERTweet_retrain_2019_23 – AI Model by touhidulislam | AlphaNeural AI
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BERTweet_retrain_2019_23
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transformers
safetensors
roberta
fill-mask
generated_from_trainer
vinai/bertweet-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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BERTweet_retrain_2019_23
This model is a fine-tuned version of
vinai/bertweet-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.6711
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: 1e-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
Training Loss
Epoch
Step
Validation Loss
4.1907
1.0
31
3.6882
3.7635
2.0
62
3.6866
3.7923
3.0
93
3.5404
Framework versions
Transformers 4.45.1
Pytorch 2.1.0+cu121
Datasets 3.0.1
Tokenizers 0.20.0
