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SCOTUS_AI_17 – AI Model by raminass | AlphaNeural AI
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raminass
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SCOTUS_AI_17
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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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SCOTUS_AI_17
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: 1.0723
Accuracy: 0.8263
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
0.2805
1.0
3188
0.6360
0.8303
0.1147
2.0
6376
0.8285
0.8230
0.053
3.0
9564
1.0048
0.8208
0.0228
4.0
12752
1.0853
0.8183
0.0143
5.0
15940
1.0723
0.8263
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
