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