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my_awesome_wnut_model – AI Model by qiaoqian | 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: 0.2820
Precision: 0.5568
Recall: 0.2817
F1: 0.3742
Accuracy: 0.9402
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
0.2895
0.4788
0.2308
0.3114
0.9367
No log
2.0
426
0.2820
0.5568
0.2817
0.3742
0.9402
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu117
Datasets 2.10.1
Tokenizers 0.13.2
