---
library_name: transformers
license: other
base_model: /mnt/data/rolnan/models/Qwen2-7b
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: full-sft-few-shot
  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. -->

# full-sft-few-shot

This model is a fine-tuned version of [/mnt/data/rolnan/models/Qwen2-7b](https://huggingface.co//mnt/data/rolnan/models/Qwen2-7b) on the oneflow_limit_num_few_shot 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 2
- total_train_batch_size: 12
- total_eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.44.2
- Pytorch 2.1.0+cu118
- Datasets 2.16.1
- Tokenizers 0.19.1