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loha_fine_tuned_cb_t5

This model is a fine-tuned version of google-t5/t5-large on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: nan
  • Accuracy: 0.3182
  • F1: 0.1536

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 400
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.0 3.5714 50 nan 0.3182 0.1536
0.0 7.1429 100 nan 0.3182 0.1536
0.0 10.7143 150 nan 0.3182 0.1536
0.0 14.2857 200 nan 0.3182 0.1536
0.0 17.8571 250 nan 0.3182 0.1536
0.0 21.4286 300 nan 0.3182 0.1536
0.0 25.0 350 nan 0.3182 0.1536
0.0 28.5714 400 nan 0.3182 0.1536

Framework versions

  • PEFT 0.11.1
  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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