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---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-hf
datasets:
- generator
model-index:
- name: llama7bit-lora-sql
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. -->
# llama7bit-lora-sql
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3700
## 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: 8
- eval_batch_size: 8
- seed: 1399
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 500
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2068 | 0.06 | 20 | 0.8181 |
| 0.6757 | 0.12 | 40 | 0.5148 |
| 0.5104 | 0.17 | 60 | 0.4552 |
| 0.4633 | 0.23 | 80 | 0.4269 |
| 0.442 | 0.29 | 100 | 0.4110 |
| 0.428 | 0.35 | 120 | 0.3993 |
| 0.4209 | 0.41 | 140 | 0.3983 |
| 0.4142 | 0.47 | 160 | 0.3932 |
| 0.4032 | 0.52 | 180 | 0.3888 |
| 0.3999 | 0.58 | 200 | 0.3841 |
| 0.3977 | 0.64 | 220 | 0.3827 |
| 0.397 | 0.7 | 240 | 0.3811 |
| 0.3927 | 0.76 | 260 | 0.3781 |
| 0.3873 | 0.82 | 280 | 0.3762 |
| 0.3871 | 0.87 | 300 | 0.3728 |
| 0.3861 | 0.93 | 320 | 0.3715 |
| 0.3809 | 0.99 | 340 | 0.3695 |
| 0.3664 | 1.05 | 360 | 0.3700 |
### Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2 |