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distilbert-base-uncased-finetuned-mi – AI Model by yancong | AlphaNeural AI
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yancong
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distilbert-base-uncased-finetuned-mi
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transformers
pytorch
tensorboard
safetensors
distilbert
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-mi
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.8606
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
3.1069
1.0
97
2.3524
2.1677
2.0
194
1.9426
1.9197
3.0
291
2.0536
Framework versions
Transformers 4.16.2
Pytorch 1.10.1
Datasets 1.18.3
Tokenizers 0.11.0
