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SA-roberta-e3-w1-2.5-b16-mt4-w0.01-data2 – AI Model by YanJiangJerry | AlphaNeural AI
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SA-roberta-e3-w1-2.5-b16-mt4-w0.01-data2
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transformers
pytorch
roberta
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
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SA-roberta-e3-w1-2.5-b16-mt4-w0.01-data2
This model is a fine-tuned version of
Amalq/autotrain-smm4h_large_roberta_clean-874027878
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6606
Accuracy: 0.9088
F1: 0.875
Precision: 0.8941
Recall: 0.8567
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: 16
eval_batch_size: 16
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
F1
Precision
Recall
0.2898
1.0
581
0.5149
0.9221
0.8930
0.9154
0.8716
0.1117
2.0
1162
0.7317
0.9010
0.8633
0.8892
0.8388
0.0536
3.0
1743
0.6606
0.9088
0.875
0.8941
0.8567
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
