File size: 2,408 Bytes
19c8641 a2eb4ac 19c8641 a2eb4ac 19c8641 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 |
---
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: codellama/CodeLlama-7b-hf
model-index:
- name: sql-code-llama
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. -->
# sql-code-llama
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4620
## 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: 0.0003
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 400
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1604 | 0.04 | 20 | 1.9793 |
| 1.1151 | 0.07 | 40 | 0.8205 |
| 0.8219 | 0.11 | 60 | 0.6630 |
| 0.5871 | 0.14 | 80 | 0.5909 |
| 0.4129 | 0.18 | 100 | 0.5730 |
| 0.5695 | 0.22 | 120 | 0.5218 |
| 0.4224 | 0.25 | 140 | 0.5122 |
| 0.6429 | 0.29 | 160 | 0.5232 |
| 0.4826 | 0.33 | 180 | 0.4914 |
| 0.3566 | 0.36 | 200 | 0.5035 |
| 0.5297 | 0.4 | 220 | 0.4846 |
| 0.4034 | 0.43 | 240 | 0.4812 |
| 0.6001 | 0.47 | 260 | 0.4841 |
| 0.4673 | 0.51 | 280 | 0.4717 |
| 0.3482 | 0.54 | 300 | 0.4801 |
| 0.5158 | 0.58 | 320 | 0.4717 |
| 0.3967 | 0.62 | 340 | 0.4658 |
| 0.5728 | 0.65 | 360 | 0.4661 |
| 0.4584 | 0.69 | 380 | 0.4630 |
| 0.3529 | 0.72 | 400 | 0.4620 |
### Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.36.0
- Pytorch 2.0.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2 |