Edit model card

scenario-NON-KD-PO-COPY-CDF-EN-D2_data-en-cardiff_eng_only_beta

This model is a fine-tuned version of haryoaw/scenario-TCR_data-en-cardiff_eng_only2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 4.5485
  • Accuracy: 0.5220
  • F1: 0.5222

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: 32
  • eval_batch_size: 32
  • seed: 112233
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
No log 4.31 250 2.3988 0.5344 0.5353
0.2495 8.62 500 3.3999 0.5097 0.5060
0.2495 12.93 750 4.1839 0.5075 0.5000
0.0308 17.24 1000 4.3968 0.5181 0.5166
0.0308 21.55 1250 4.6054 0.5159 0.5136
0.008 25.86 1500 4.5485 0.5220 0.5222

Framework versions

  • Transformers 4.33.3
  • Pytorch 2.1.1+cu121
  • Datasets 2.14.5
  • Tokenizers 0.13.3
Downloads last month
1

Finetuned from