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falcon_40b_qlora_sql_r64
This model is a fine-tuned version of tiiuae/falcon-40b on the spider dataset. It achieves the following results on the evaluation set:
- Loss: 0.1260
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 43.7
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1845 | 0.23 | 100 | 0.2542 |
| 0.5572 | 0.46 | 200 | 0.2048 |
| 0.0779 | 0.69 | 300 | 0.1761 |
| 0.0581 | 0.91 | 400 | 0.1315 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
