---
library_name: peft
tags:
- generated_from_trainer
base_model: obrmmk/tinycodellama-jp-1.3b-1k
model-index:
- name: sql-tinycodellama-1.3b-v1
  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-tinycodellama-1.3b-v1

This model is a fine-tuned version of [obrmmk/tinycodellama-jp-1.3b-1k](https://huggingface.co/obrmmk/tinycodellama-jp-1.3b-1k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3754

## 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: 50
- training_steps: 50
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2