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my_awesome_wnut_model – AI Model by jaydip-tss | AlphaNeural AI
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my_awesome_wnut_model
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transformers
tensorboard
safetensors
distilbert
token-classification
generated_from_trainer
wnut_17
distilbert/distilbert-base-uncased
finetune
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: 0.2712
Precision: 0.5143
Recall: 0.3837
F1: 0.4395
Accuracy: 0.9454
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
0.2640
0.5072
0.3605
0.4215
0.9442
No log
2.0
426
0.2712
0.5143
0.3837
0.4395
0.9454
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
