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bertweetB_3epoch – AI Model by dianamihalache27 | AlphaNeural AI
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dianamihalache27
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bertweetB_3epoch
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
vinai/bertweet-base
finetune
autotrain_compatible
endpoints_compatible
us
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bertweetB_3epoch
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: 0.1293
Accuracy: 0.8571
Precision: 0.0
Recall: 0.0
F1: 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: 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
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
No log
1.0
434
0.1268
0.8571
0.0
0.0
0.0
0.195
2.0
868
0.1294
0.8571
0.0
0.0
0.0
0.1591
3.0
1302
0.1293
0.8571
0.0
0.0
0.0
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
