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distilbert-base-cased – AI Model by xtorresm | AlphaNeural AI
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xtorresm
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distilbert-base-cased
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transformers
pytorch
distilbert
token-classification
generated_from_trainer
distilbert/distilbert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-cased
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: 0.1298
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: 5e-05
train_batch_size: 32
eval_batch_size: 32
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
0.0714
1.0
328
0.1348
0.0593
2.0
656
0.1298
Framework versions
Transformers 4.34.0
Pytorch 2.1.0+cu121
Datasets 2.14.5
Tokenizers 0.14.1
