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bert-large-uncased-finetuned-clinc150 – AI Model by FilippoComastri | AlphaNeural AI | AlphaNeural AI
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FilippoComastri
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bert-large-uncased-finetuned-clinc150
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transformers
pytorch
tensorboard
bert
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-large-uncased-finetuned-clinc150
This model is a fine-tuned version of
bert-large-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.6555
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.6666
1.0
324
2.9589
2.8829
2.0
648
2.7507
2.6216
3.0
972
2.6256
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
