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distilbert-base-uncased-becasv2-4 – AI Model by Evelyn18 | AlphaNeural AI
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Evelyn18
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distilbert-base-uncased-becasv2-4
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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-becasv2-4
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: 3.4637
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: 16
eval_batch_size: 16
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
6
5.3677
No log
2.0
12
4.6741
No log
3.0
18
4.2978
No log
4.0
24
3.9963
No log
5.0
30
3.7544
No log
6.0
36
3.5810
No log
7.0
42
3.4932
No log
8.0
48
3.4637
Framework versions
Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
