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bert-base-uncased-hatexplain-label-all-tokens-True-3epoch – AI Model by troesy | AlphaNeural AI
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troesy
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bert-base-uncased-hatexplain-label-all-tokens-True-3epoch
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-uncased-hatexplain-label-all-tokens-True-3epoch
This model is a fine-tuned version of
bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2139
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: 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
No log
1.0
174
0.2211
No log
2.0
348
0.2089
0.2165
3.0
522
0.2139
Framework versions
Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.13.1
