metadata
license: other
base_model: microsoft/phi-1_5
tags:
- generated_from_trainer
model-index:
- name: phi-1_5-finetuned-SQL-2
results: []
phi-1_5-finetuned-SQL-2
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1014
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 20000
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.2954 | 3.2 | 1000 | 1.8424 |
1.747 | 6.4 | 2000 | 1.7355 |
1.6037 | 9.6 | 3000 | 1.6513 |
1.4616 | 12.8 | 4000 | 1.6125 |
1.3183 | 16.0 | 5000 | 1.6114 |
1.1743 | 19.2 | 6000 | 1.6670 |
1.0421 | 22.4 | 7000 | 1.7143 |
0.9229 | 25.6 | 8000 | 1.7434 |
0.8166 | 28.8 | 9000 | 1.8055 |
0.7256 | 32.0 | 10000 | 1.8523 |
0.6435 | 35.2 | 11000 | 1.9160 |
0.5779 | 38.4 | 12000 | 1.9352 |
0.5209 | 41.6 | 13000 | 1.9740 |
0.4739 | 44.8 | 14000 | 2.0014 |
0.4353 | 48.0 | 15000 | 2.0192 |
0.4036 | 51.2 | 16000 | 2.0506 |
0.3814 | 54.4 | 17000 | 2.0678 |
0.3626 | 57.6 | 18000 | 2.0861 |
0.3504 | 60.8 | 19000 | 2.0940 |
0.3391 | 64.0 | 20000 | 2.1014 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1