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british – AI Model by raminass | AlphaNeural AI
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raminass
/
british
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
raminass/scotus-v10
finetune
cc-by-sa-4.0
autotrain_compatible
endpoints_compatible
us
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Model card
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british
This model is a fine-tuned version of
raminass/scotus-v10
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5705
Accuracy: 0.7368
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
16
0.5992
0.6842
No log
2.0
32
0.5983
0.6667
No log
3.0
48
0.5679
0.7193
No log
4.0
64
0.5713
0.7368
No log
5.0
80
0.5705
0.7368
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
