Hugging Face's logo

raminass
/
SCOTUS_AI_V15_CURCUIT_V2

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
SCOTUS_AI_V15_CURCUIT_V2 / README.md
raminass's picture
raminass
End of training
5e4237d verified
preview code
|
raw
history blame contribute delete
No virus
1.76 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_CURCUIT_V2
    results: []

SCOTUS_AI_V15_CURCUIT_V2

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: 1.2266
  • Accuracy: 0.7710

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
0.7501 1.0 2070 0.7583 0.7831
0.4324 2.0 4140 0.8124 0.7710
0.2489 3.0 6210 0.9473 0.7559
0.1791 4.0 8280 0.9953 0.7720
0.0968 5.0 10350 1.1184 0.7750
0.0626 6.0 12420 1.2091 0.7703
0.0431 7.0 14490 1.2266 0.7710

Framework versions

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