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distilbert-base-uncased-becasv2-6 – AI Model by Evelyn18 | AlphaNeural AI
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Evelyn18
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distilbert-base-uncased-becasv2-6
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transformers
pytorch
tensorboard
distilbert
question-answering
generated_from_trainer
becasv2
apache-2.0
endpoints_compatible
us
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distilbert-base-uncased-becasv2-6
This model is a fine-tuned version of
distilbert-base-uncased
on the becasv2 dataset. It achieves the following results on the evaluation set:
Loss: 3.8936
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: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
9
4.0542
No log
2.0
18
3.0865
No log
3.0
27
2.8069
No log
4.0
36
3.3330
No log
5.0
45
3.4108
No log
6.0
54
3.5562
No log
7.0
63
3.8846
No log
8.0
72
3.8936
Framework versions
Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
