Edit model card

COPA_20_shot

This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6896
  • F1: 0.582

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: 1e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss F1
No log 1.0 2 0.6929 0.558
No log 2.0 4 0.6933 0.564
No log 3.0 6 0.6920 0.582
No log 4.0 8 0.6913 0.584
No log 5.0 10 0.6907 0.584
No log 6.0 12 0.6904 0.58
No log 7.0 14 0.6904 0.582
No log 8.0 16 0.6902 0.574
No log 9.0 18 0.6898 0.582
No log 10.0 20 0.6896 0.582

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3
Downloads last month
5
Safetensors
Model size
109M params
Tensor type
F32
·
Inference API
Inference API (serverless) does not yet support transformers models for this pipeline type.

Model tree for Ariffiq99/COPA_20_shot

Finetuned
(2179)
this model