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my_awesome_wnut_model – AI Model by gwd77777 | AlphaNeural AI
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my_awesome_wnut_model
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transformers
pytorch
distilbert
token-classification
generated_from_trainer
wnut_17
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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my_awesome_wnut_model
This model is a fine-tuned version of
distilbert-base-uncased
on the wnut_17 dataset. It achieves the following results on the evaluation set:
Loss: 0.2784
Precision: 0.5424
Recall: 0.2725
F1: 0.3627
Accuracy: 0.9400
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
213
0.2914
0.3892
0.1872
0.2528
0.9350
No log
2.0
426
0.2784
0.5424
0.2725
0.3627
0.9400
Framework versions
Transformers 4.29.2
Pytorch 1.13.1
Datasets 2.12.0
Tokenizers 0.13.3
