Hugging Face's logo

raminass
/
SCOTUS_AI_V15

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
SCOTUS_AI_V15 / README.md
raminass's picture
raminass
End of training
62a4bc4 verified
preview code
|
raw
history blame contribute delete
1.74 kB
metadata
license: cc-by-sa-4.0
base_model: raminass/scotus-v10
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: SCOTUS_AI_V15
    results: []

SCOTUS_AI_V15

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: 0.0214
  • Accuracy: 0.9954

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: 7

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6856 1.0 2504 0.4083 0.8876
0.4313 2.0 5008 0.2375 0.9321
0.2564 3.0 7512 0.1136 0.9686
0.1662 4.0 10016 0.0553 0.9863
0.0966 5.0 12520 0.0432 0.9889
0.0604 6.0 15024 0.0278 0.9935
0.0372 7.0 17528 0.0214 0.9954

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2