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distillbert-finetuned-ner-btc – AI Model by farrukhrasool112 | AlphaNeural AI
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distillbert-finetuned-ner-btc
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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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distillbert-finetuned-ner-btc
This model is a fine-tuned version of
distilbert/distilbert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2802
Precision: 0.4392
Recall: 0.4370
F1: 0.4381
Accuracy: 0.9117
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
56
0.3448
0.4762
0.0345
0.0644
0.8792
No log
2.0
112
0.2880
0.4506
0.3938
0.4203
0.9080
No log
3.0
168
0.2802
0.4392
0.4370
0.4381
0.9117
Framework versions
Transformers 4.38.2
Pytorch 2.0.0+cu117
Datasets 2.18.0
Tokenizers 0.15.2
