Edit model card

CuATR-falcon7b

This model is a fine-tuned version of tiiuae/falcon-7b on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4351
  • Accuracy: 0.5652
  • F1: 0.7222

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: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 7
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
1.4522 1.0 23 0.8684 0.5652 0.7222
0.9683 2.0 46 0.7938 0.5652 0.7222
1.5347 3.0 69 0.7187 0.5652 0.7222
0.6854 4.0 92 0.6314 0.5652 0.7222
0.5356 5.0 115 0.5313 0.5652 0.7222
0.2435 6.0 138 0.4704 0.5652 0.7222
0.3844 7.0 161 0.4351 0.5652 0.7222

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.1+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0
Downloads last month

-

Downloads are not tracked for this model. How to track
Unable to determine this model's library. Check the docs .

Finetuned from