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---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: VictorDCh/Llama-3-8B-Instruct-MoE-2
datasets:
- generator
model-index:
- name: Llama-3-8B-Instruct-MoE-2-spider-4
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. -->
# Llama-3-8B-Instruct-MoE-2-spider-4
This model is a fine-tuned version of [VictorDCh/Llama-3-8B-Instruct-MoE-2](https://huggingface.co/VictorDCh/Llama-3-8B-Instruct-MoE-2) on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
prompt format:
"""You are a helpful assistant who answers questions about database tables by responding with SQL queries.
Users will provide you with a set of tables represented as CREATE TABLE statements followed by INSERT statements containing information about the data types contained in each of the tables.
Then users will ask a question.
Answer the user question by writing a SQL statement with the help of the provided SQL tables."""
user_message = """Here is the schema of the tables you will be working with:
{schema}
-- {question}
SELECT"""
dataset: VictorDCh/spider-clean-text-to-sql-3
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
### Training results
### Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2 |