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roberta_epo3_batchsize8 – AI Model by Ywl9909 | AlphaNeural AI
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roberta_epo3_batchsize8
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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roberta_epo3_batchsize8
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6683
Precision: 0.6289
Recall: 0.6035
F1: 0.6124
Accuracy: 0.782
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
Precision
Recall
F1
Accuracy
0.8489
1.0
750
0.5924
0.6066
0.5512
0.5605
0.782
0.5551
2.0
1500
0.6388
0.6112
0.5513
0.5698
0.7745
0.4379
3.0
2250
0.6683
0.6289
0.6035
0.6124
0.782
Framework versions
Transformers 4.27.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
