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trained_danish – AI Model by annamariagnat | AlphaNeural AI
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trained_danish
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transformers
tensorboard
safetensors
distilbert
token-classification
generated_from_trainer
distilbert/distilbert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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trained_danish
This model is a fine-tuned version of
distilbert/distilbert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0667
Precision: 0.7791
Recall: 0.7329
F1: 0.7553
Accuracy: 0.9807
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
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
137
0.0788
0.6736
0.6658
0.6697
0.9749
No log
2.0
274
0.0652
0.7653
0.7406
0.7528
0.9802
No log
3.0
411
0.0667
0.7791
0.7329
0.7553
0.9807
Framework versions
Transformers 4.38.2
Pytorch 2.1.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2
