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distilbert-base-uncased-prueba2 – AI Model by Evelyn18 | AlphaNeural AI
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Evelyn18
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distilbert-base-uncased-prueba2
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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-prueba2
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: 3.6356
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
3.9054
No log
2.0
18
3.1893
No log
3.0
27
2.9748
No log
4.0
36
3.1541
No log
5.0
45
3.2887
No log
6.0
54
3.5055
No log
7.0
63
3.5902
No log
8.0
72
3.6356
Framework versions
Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
