falcon-clf / README.md
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metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: tiiuae/falcon-7b-instruct
model-index:
  - name: falcon-clf
    results: []

falcon-clf

This model is a fine-tuned version of tiiuae/falcon-7b-instruct on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1042

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: 0.0002
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.3765 0.99 77 1.2102
1.2009 1.99 155 1.1354
1.0374 2.99 233 1.1166
0.9339 3.99 311 1.1075
1.2649 4.94 385 1.1042

Framework versions

  • PEFT 0.7.1
  • Transformers 4.36.1
  • Pytorch 2.0.0+cu117
  • Datasets 2.18.0
  • Tokenizers 0.15.2