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mental-bert-base-uncased-finetuned-0505 – AI Model by YeRyeongLee | AlphaNeural AI
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YeRyeongLee
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mental-bert-base-uncased-finetuned-0505
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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mental-bert-base-uncased-finetuned-0505
This model is a fine-tuned version of
mental/mental-bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4195
Accuracy: 0.9181
F1: 0.9182
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
1373
0.2846
0.9124
0.9119
No log
2.0
2746
0.3468
0.9132
0.9129
No log
3.0
4119
0.3847
0.9189
0.9192
No log
4.0
5492
0.4195
0.9181
0.9182
Framework versions
Transformers 4.11.3
Pytorch 1.9.0
Datasets 1.16.1
Tokenizers 0.10.3
