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evaluating-student-writing-distibert-ner-with-metric – AI Model by NahedAbdelgaber | AlphaNeural AI
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NahedAbdelgaber
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evaluating-student-writing-distibert-ner-with-metric
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transformers
pytorch
tensorboard
distilbert
token-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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evaluating-student-writing-distibert-ner-with-metric
This model is a fine-tuned version of
NahedAbdelgaber/evaluating-student-writing-distibert-ner
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7535
Precision: 0.0614
Recall: 0.2590
F1: 0.0993
Accuracy: 0.6188
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.7145
1.0
1755
0.7683
0.0546
0.2194
0.0875
0.6191
0.6608
2.0
3510
0.7504
0.0570
0.2583
0.0934
0.6136
0.5912
3.0
5265
0.7535
0.0614
0.2590
0.0993
0.6188
Framework versions
Transformers 4.12.5
Pytorch 1.9.1
Datasets 1.16.1
Tokenizers 0.10.3
