---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: openbmb/MiniCPM-2B-sft-int4
model-index:
- name: MiniCPM-2B-sft-int4-finetuned-tosql
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MiniCPM-2B-sft-int4-finetuned-tosql

This model is a fine-tuned version of [openbmb/MiniCPM-2B-sft-int4](https://huggingface.co/openbmb/MiniCPM-2B-sft-int4) on an unknown dataset.

## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.8.2
- Transformers 4.37.0
- Pytorch 2.1.2.post301
- Datasets 2.16.1
- Tokenizers 0.15.1