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bert-finetuned-ner-football – AI Model by ChristianSneffeFleischer | AlphaNeural AI
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bert-finetuned-ner-football
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transformers
safetensors
distilbert
token-classification
generated_from_trainer
distilbert/distilbert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-finetuned-ner-football
This model is a fine-tuned version of
distilbert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1310
Precision: 0.8885
Recall: 0.9284
F1: 0.9080
Accuracy: 0.9718
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
No log
1.0
199
0.1845
0.7498
0.8152
0.7812
0.9446
No log
2.0
398
0.1416
0.8381
0.8996
0.8678
0.9625
0.2393
3.0
597
0.1351
0.8589
0.9106
0.8840
0.9651
Framework versions
Transformers 4.40.2
Pytorch 2.2.2
Datasets 2.19.1
Tokenizers 0.19.1
