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---
license: other
base_model: microsoft/phi-1_5
tags:
- generated_from_trainer
model-index:
- name: phi-1_5-finetuned-SQL-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-SQL-2
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/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
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