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distilbert-finetuned – AI Model by laboyle1 | AlphaNeural AI
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laboyle1
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distilbert-finetuned
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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-finetuned
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: 1.9895
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
2.2103
1.0
10024
2.0834
2.1146
2.0
20048
2.0387
2.0721
3.0
30072
2.0095
Framework versions
Transformers 4.19.4
Pytorch 1.11.0+cu102
Datasets 2.2.2
Tokenizers 0.12.1
