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bertweet-large_epoch1_batch4_lr2e-05_w0.005 – AI Model by YanJiangJerry | AlphaNeural AI
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YanJiangJerry
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bertweet-large_epoch1_batch4_lr2e-05_w0.005
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transformers
pytorch
roberta
text-classification
generated_from_trainer
vinai/bertweet-large
finetune
autotrain_compatible
endpoints_compatible
us
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bertweet-large_epoch1_batch4_lr2e-05_w0.005
This model is a fine-tuned version of
vinai/bertweet-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6770
Accuracy: 0.6274
F1: 0.0
Precision: 0.0
Recall: 0.0
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.7045
1.0
788
0.6770
0.6274
0.0
0.0
0.0
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3
