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NHS-distilbert-binary-random – AI Model by intermezzo672 | AlphaNeural AI | AlphaNeural AI
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NHS-distilbert-binary-random
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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NHS-distilbert-binary-random
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5121
Accuracy: 0.8019
Precision: 0.7972
Recall: 0.8065
F1: 0.7988
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: 3e-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: 6
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.1385
1.0
397
0.4277
0.8069
0.8004
0.7989
0.7996
0.0481
2.0
794
0.4580
0.7931
0.7894
0.7990
0.7903
2.0213
3.0
1191
0.5121
0.8019
0.7972
0.8065
0.7988
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
