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bert-finetuned-inspec – AI Model by RobertoMCA97 | AlphaNeural AI
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RobertoMCA97
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bert-finetuned-inspec
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
inspec
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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bert-finetuned-inspec
This model is a fine-tuned version of
bert-base-uncased
on the inspec dataset. It achieves the following results on the evaluation set:
Loss: 0.3055
F1: 0.3035
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: 5e-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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.3323
1.0
125
0.2799
0.1521
0.2563
2.0
250
0.2638
0.2230
0.2179
3.0
375
0.2689
0.2607
0.1809
4.0
500
0.2807
0.3122
0.1545
5.0
625
0.3055
0.3035
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1
