CuATR-falcon7b / README.md
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CuATR-falcon7b-v1
7b3f5a6
metadata
license: apache-2.0
base_model: tiiuae/falcon-7b
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: CuATR-falcon7b
    results: []

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