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SPECTER-finetuned-review_classifier – AI Model by domenicrosati | AlphaNeural AI
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SPECTER-finetuned-review_classifier
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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SPECTER-finetuned-review_classifier
This model is a fine-tuned version of
allenai/specter
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0645
Accuracy: 0.9801
F1: 0.8964
Recall: 0.8814
Precision: 0.9118
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: 4.5e-05
train_batch_size: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Recall
Precision
0.2013
1.0
1667
0.1327
0.9592
0.7827
0.7546
0.8131
0.1227
2.0
3334
0.0645
0.9801
0.8964
0.8814
0.9118
Framework versions
Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1
