falcon-7b_spider
This model is a fine-tuned version of tiiuae/falcon-7b on the spider dataset. It achieves the following results on the evaluation set:
- Loss: 0.1837
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: 0.0001
- 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
- lr_scheduler_warmup_steps: 87.5
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.5561 | 0.11 | 100 | 0.3692 |
0.0 | 0.23 | 200 | 0.2534 |
0.0628 | 0.34 | 300 | 0.2348 |
0.6081 | 0.46 | 400 | 0.2310 |
0.0024 | 0.57 | 500 | 0.2218 |
0.0136 | 0.69 | 600 | 0.2256 |
0.1526 | 0.8 | 700 | 0.2140 |
0.1417 | 0.91 | 800 | 0.2158 |
0.2736 | 1.03 | 900 | 0.1880 |
0.2429 | 1.14 | 1000 | 0.1947 |
0.1635 | 1.26 | 1100 | 0.1861 |
0.2204 | 1.37 | 1200 | 0.1755 |
0.1207 | 1.49 | 1300 | 0.1952 |
0.1663 | 1.6 | 1400 | 0.1821 |
0.2023 | 1.71 | 1500 | 0.1901 |
0.0429 | 1.83 | 1600 | 0.1892 |
0.1651 | 1.94 | 1700 | 0.1847 |
0.0447 | 2.06 | 1800 | 0.1781 |
0.0184 | 2.17 | 1900 | 0.1808 |
0.0392 | 2.29 | 2000 | 0.2112 |
0.1474 | 2.4 | 2100 | 0.1800 |
0.1859 | 2.51 | 2200 | 0.1754 |
0.3717 | 2.63 | 2300 | 0.1736 |
0.2106 | 2.74 | 2400 | 0.1767 |
0.0798 | 2.86 | 2500 | 0.1700 |
0.2165 | 2.97 | 2600 | 0.1868 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
Model tree for work4xiang/falcon-7b_spider
Base model
tiiuae/falcon-7b