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classifier2_1 – AI Model by Gilsun | AlphaNeural AI
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Gilsun
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classifier2_1
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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classifier2_1
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9690
Accuracy: 0.5469
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: 0.001
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
2
1.1802
0.3755
No log
2.0
4
1.1798
0.5510
No log
3.0
6
0.9445
0.5469
No log
4.0
8
0.9291
0.5469
No log
5.0
10
1.0080
0.5265
No log
6.0
12
0.9636
0.5469
No log
7.0
14
0.9690
0.5469
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
