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distilbert-base-uncased-becasv3-1 – AI Model by Evelyn18 | AlphaNeural AI
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Evelyn18
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distilbert-base-uncased-becasv3-1
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transformers
pytorch
tensorboard
distilbert
question-answering
generated_from_trainer
becasv3
apache-2.0
endpoints_compatible
us
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distilbert-base-uncased-becasv3-1
This model is a fine-tuned version of
distilbert-base-uncased
on the becasv3 dataset. It achieves the following results on the evaluation set:
Loss: 3.1086
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: 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
8
5.1063
No log
2.0
16
4.4615
No log
3.0
24
3.9351
No log
4.0
32
3.5490
No log
5.0
40
3.3299
No log
6.0
48
3.2148
No log
7.0
56
3.1292
No log
8.0
64
3.1086
Framework versions
Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
