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distilbert-base-uncased-finetuned-domain-adaptation – AI Model by algiraldohe | AlphaNeural AI
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algiraldohe
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distilbert-base-uncased-finetuned-domain-adaptation
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transformers
pytorch
distilbert
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-domain-adaptation
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: 0.2679
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: 64
eval_batch_size: 64
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
0.7965
1.0
567
0.3069
0.3126
2.0
1134
0.2759
0.2954
3.0
1701
0.2679
Framework versions
Transformers 4.29.1
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.3
