README.md

metadata

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: []

MiniCPM-2B-sft-int4-finetuned-tosql

This model is a fine-tuned version of 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