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M1 – AI Model by raminass | AlphaNeural AI
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raminass
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M1
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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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M1
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: 0.9181
Accuracy: 0.7506
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7987
1.0
2170
0.9899
0.7118
0.4413
2.0
4340
0.9220
0.7455
0.2606
3.0
6510
0.9181
0.7506
Framework versions
Transformers 4.38.0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
