Edit model card

results

This model is a fine-tuned version of law-ai/InLegalBERT on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4529

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • 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
No log 1.0 125 2.1314
No log 2.0 250 1.6761
No log 3.0 375 1.4529

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.0.0
  • Datasets 2.15.0
  • Tokenizers 0.14.1
Downloads last month
3
Safetensors
Model size
110M params
Tensor type
F32
·
Inference API
Unable to determine this model's library. Check the docs .

Model tree for SHASWATSINGH3101/results

Base model

law-ai/InLegalBERT
Finetuned
(9)
this model